Upload 13 files
Browse files- lora_8bit_adapter_raw/README.md +73 -0
- lora_8bit_adapter_raw/adapter_config.json +29 -0
- lora_8bit_adapter_raw/all_results.json +11 -0
- lora_8bit_adapter_raw/eval_results.json +7 -0
- lora_8bit_adapter_raw/special_tokens_map.json +35 -0
- lora_8bit_adapter_raw/tokenizer.model +3 -0
- lora_8bit_adapter_raw/tokenizer_config.json +74 -0
- lora_8bit_adapter_raw/train_results.json +7 -0
- lora_8bit_adapter_raw/trainer_log.jsonl +0 -0
- lora_8bit_adapter_raw/trainer_state.json +2727 -0
- lora_8bit_adapter_raw/training_args.bin +3 -0
- lora_8bit_adapter_raw/training_eval_loss.png +0 -0
- lora_8bit_adapter_raw/training_loss.png +0 -0
lora_8bit_adapter_raw/README.md
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- llama-factory
|
6 |
+
- lora
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w
|
9 |
+
model-index:
|
10 |
+
- name: oncology
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# oncology
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w](https://huggingface.co/content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w) on the oncology_train_raw dataset.
|
20 |
+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 1.6397
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 0.0003
|
41 |
+
- train_batch_size: 4
|
42 |
+
- eval_batch_size: 4
|
43 |
+
- seed: 42
|
44 |
+
- gradient_accumulation_steps: 4
|
45 |
+
- total_train_batch_size: 16
|
46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
+
- lr_scheduler_type: cosine
|
48 |
+
- lr_scheduler_warmup_steps: 200
|
49 |
+
- num_epochs: 3.0
|
50 |
+
- mixed_precision_training: Native AMP
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
55 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
56 |
+
| 1.7882 | 0.32 | 200 | 1.7318 |
|
57 |
+
| 1.604 | 0.64 | 400 | 1.7021 |
|
58 |
+
| 1.706 | 0.96 | 600 | 1.6814 |
|
59 |
+
| 1.5361 | 1.28 | 800 | 1.6756 |
|
60 |
+
| 1.5625 | 1.6 | 1000 | 1.6565 |
|
61 |
+
| 1.606 | 1.91 | 1200 | 1.6396 |
|
62 |
+
| 1.4462 | 2.23 | 1400 | 1.6514 |
|
63 |
+
| 1.3236 | 2.55 | 1600 | 1.6478 |
|
64 |
+
| 1.4728 | 2.87 | 1800 | 1.6453 |
|
65 |
+
|
66 |
+
|
67 |
+
### Framework versions
|
68 |
+
|
69 |
+
- PEFT 0.10.0
|
70 |
+
- Transformers 4.38.2
|
71 |
+
- Pytorch 2.2.1+cu121
|
72 |
+
- Datasets 2.18.0
|
73 |
+
- Tokenizers 0.15.2
|
lora_8bit_adapter_raw/adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 64,
|
14 |
+
"lora_dropout": 0.1,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"q_proj"
|
25 |
+
],
|
26 |
+
"task_type": "CAUSAL_LM",
|
27 |
+
"use_dora": false,
|
28 |
+
"use_rslora": false
|
29 |
+
}
|
lora_8bit_adapter_raw/all_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_loss": 1.639704942703247,
|
4 |
+
"eval_runtime": 54.9986,
|
5 |
+
"eval_samples_per_second": 8.8,
|
6 |
+
"eval_steps_per_second": 2.2,
|
7 |
+
"train_loss": 1.5555958059776072,
|
8 |
+
"train_runtime": 10085.6682,
|
9 |
+
"train_samples_per_second": 2.982,
|
10 |
+
"train_steps_per_second": 0.186
|
11 |
+
}
|
lora_8bit_adapter_raw/eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_loss": 1.639704942703247,
|
4 |
+
"eval_runtime": 54.9986,
|
5 |
+
"eval_samples_per_second": 8.8,
|
6 |
+
"eval_steps_per_second": 2.2
|
7 |
+
}
|
lora_8bit_adapter_raw/special_tokens_map.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|im_sep|>"
|
6 |
+
],
|
7 |
+
"bos_token": {
|
8 |
+
"content": "<|startoftext|>",
|
9 |
+
"lstrip": false,
|
10 |
+
"normalized": true,
|
11 |
+
"rstrip": false,
|
12 |
+
"single_word": false
|
13 |
+
},
|
14 |
+
"eos_token": {
|
15 |
+
"content": "<|im_end|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"pad_token": {
|
22 |
+
"content": "<unk>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": true,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false
|
27 |
+
},
|
28 |
+
"unk_token": {
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false
|
34 |
+
}
|
35 |
+
}
|
lora_8bit_adapter_raw/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
|
3 |
+
size 1033105
|
lora_8bit_adapter_raw/tokenizer_config.json
ADDED
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": true,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<|startoftext|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "<|endoftext|>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"6": {
|
31 |
+
"content": "<|im_start|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"7": {
|
39 |
+
"content": "<|im_end|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"8": {
|
47 |
+
"content": "<|im_sep|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
}
|
54 |
+
},
|
55 |
+
"additional_special_tokens": [
|
56 |
+
"<|im_start|>",
|
57 |
+
"<|im_end|>",
|
58 |
+
"<|im_sep|>"
|
59 |
+
],
|
60 |
+
"bos_token": "<|startoftext|>",
|
61 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\\n' + content + '<|im_end|>\\n<|im_start|>assistant\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\\n' }}{% endif %}{% endfor %}",
|
62 |
+
"clean_up_tokenization_spaces": false,
|
63 |
+
"eos_token": "<|im_end|>",
|
64 |
+
"legacy": true,
|
65 |
+
"model_max_length": 4096,
|
66 |
+
"pad_token": "<unk>",
|
67 |
+
"padding_side": "right",
|
68 |
+
"sp_model_kwargs": {},
|
69 |
+
"spaces_between_special_tokens": false,
|
70 |
+
"split_special_tokens": false,
|
71 |
+
"tokenizer_class": "LlamaTokenizer",
|
72 |
+
"unk_token": "<unk>",
|
73 |
+
"use_default_system_prompt": true
|
74 |
+
}
|
lora_8bit_adapter_raw/train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"train_loss": 1.5555958059776072,
|
4 |
+
"train_runtime": 10085.6682,
|
5 |
+
"train_samples_per_second": 2.982,
|
6 |
+
"train_steps_per_second": 0.186
|
7 |
+
}
|
lora_8bit_adapter_raw/trainer_log.jsonl
ADDED
The diff for this file is too large to render.
See raw diff
|
|
lora_8bit_adapter_raw/trainer_state.json
ADDED
@@ -0,0 +1,2727 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.6396043300628662,
|
3 |
+
"best_model_checkpoint": "content/lora_8bit_onco_raw/oncology/checkpoint-1200",
|
4 |
+
"epoch": 2.9964100518548067,
|
5 |
+
"eval_steps": 200,
|
6 |
+
"global_step": 1878,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 0.7856405973434448,
|
14 |
+
"learning_rate": 7.499999999999999e-06,
|
15 |
+
"loss": 1.9839,
|
16 |
+
"step": 5
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02,
|
20 |
+
"grad_norm": 0.7171689867973328,
|
21 |
+
"learning_rate": 1.4999999999999999e-05,
|
22 |
+
"loss": 1.8072,
|
23 |
+
"step": 10
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.02,
|
27 |
+
"grad_norm": 0.7502748966217041,
|
28 |
+
"learning_rate": 2.2499999999999998e-05,
|
29 |
+
"loss": 1.916,
|
30 |
+
"step": 15
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.03,
|
34 |
+
"grad_norm": 0.6175706386566162,
|
35 |
+
"learning_rate": 2.9999999999999997e-05,
|
36 |
+
"loss": 1.8292,
|
37 |
+
"step": 20
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.04,
|
41 |
+
"grad_norm": 0.4654443562030792,
|
42 |
+
"learning_rate": 3.75e-05,
|
43 |
+
"loss": 1.8564,
|
44 |
+
"step": 25
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.05,
|
48 |
+
"grad_norm": 0.5197769999504089,
|
49 |
+
"learning_rate": 4.4999999999999996e-05,
|
50 |
+
"loss": 1.9732,
|
51 |
+
"step": 30
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.06,
|
55 |
+
"grad_norm": 0.6166006922721863,
|
56 |
+
"learning_rate": 5.2499999999999995e-05,
|
57 |
+
"loss": 1.8221,
|
58 |
+
"step": 35
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.06,
|
62 |
+
"grad_norm": 0.5110687613487244,
|
63 |
+
"learning_rate": 5.9999999999999995e-05,
|
64 |
+
"loss": 1.5955,
|
65 |
+
"step": 40
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.07,
|
69 |
+
"grad_norm": 0.6438449025154114,
|
70 |
+
"learning_rate": 6.75e-05,
|
71 |
+
"loss": 1.7571,
|
72 |
+
"step": 45
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.08,
|
76 |
+
"grad_norm": 0.4936439096927643,
|
77 |
+
"learning_rate": 7.5e-05,
|
78 |
+
"loss": 1.6779,
|
79 |
+
"step": 50
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.09,
|
83 |
+
"grad_norm": 0.554935872554779,
|
84 |
+
"learning_rate": 8.25e-05,
|
85 |
+
"loss": 1.74,
|
86 |
+
"step": 55
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.1,
|
90 |
+
"grad_norm": 0.49913492798805237,
|
91 |
+
"learning_rate": 8.999999999999999e-05,
|
92 |
+
"loss": 1.8844,
|
93 |
+
"step": 60
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.1,
|
97 |
+
"grad_norm": 0.5313754081726074,
|
98 |
+
"learning_rate": 9.75e-05,
|
99 |
+
"loss": 1.6513,
|
100 |
+
"step": 65
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.11,
|
104 |
+
"grad_norm": 0.5471957921981812,
|
105 |
+
"learning_rate": 0.00010499999999999999,
|
106 |
+
"loss": 1.7246,
|
107 |
+
"step": 70
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.12,
|
111 |
+
"grad_norm": 0.6044861674308777,
|
112 |
+
"learning_rate": 0.0001125,
|
113 |
+
"loss": 1.8523,
|
114 |
+
"step": 75
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.13,
|
118 |
+
"grad_norm": 0.5198370814323425,
|
119 |
+
"learning_rate": 0.00011999999999999999,
|
120 |
+
"loss": 1.7499,
|
121 |
+
"step": 80
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.14,
|
125 |
+
"grad_norm": 0.5604796409606934,
|
126 |
+
"learning_rate": 0.00012749999999999998,
|
127 |
+
"loss": 1.7664,
|
128 |
+
"step": 85
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.14,
|
132 |
+
"grad_norm": 0.5335713624954224,
|
133 |
+
"learning_rate": 0.000135,
|
134 |
+
"loss": 1.666,
|
135 |
+
"step": 90
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.15,
|
139 |
+
"grad_norm": 0.6011459827423096,
|
140 |
+
"learning_rate": 0.0001425,
|
141 |
+
"loss": 1.8222,
|
142 |
+
"step": 95
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.16,
|
146 |
+
"grad_norm": 0.6249136924743652,
|
147 |
+
"learning_rate": 0.00015,
|
148 |
+
"loss": 1.7571,
|
149 |
+
"step": 100
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.17,
|
153 |
+
"grad_norm": 0.5300886034965515,
|
154 |
+
"learning_rate": 0.00015749999999999998,
|
155 |
+
"loss": 1.7534,
|
156 |
+
"step": 105
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.18,
|
160 |
+
"grad_norm": 0.5625594854354858,
|
161 |
+
"learning_rate": 0.000165,
|
162 |
+
"loss": 1.6312,
|
163 |
+
"step": 110
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.18,
|
167 |
+
"grad_norm": 0.48619601130485535,
|
168 |
+
"learning_rate": 0.00017249999999999996,
|
169 |
+
"loss": 1.7695,
|
170 |
+
"step": 115
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.19,
|
174 |
+
"grad_norm": 0.5377641320228577,
|
175 |
+
"learning_rate": 0.00017999999999999998,
|
176 |
+
"loss": 1.7723,
|
177 |
+
"step": 120
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.2,
|
181 |
+
"grad_norm": 0.5358831882476807,
|
182 |
+
"learning_rate": 0.00018749999999999998,
|
183 |
+
"loss": 1.7541,
|
184 |
+
"step": 125
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.21,
|
188 |
+
"grad_norm": 0.5402532815933228,
|
189 |
+
"learning_rate": 0.000195,
|
190 |
+
"loss": 1.6796,
|
191 |
+
"step": 130
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.22,
|
195 |
+
"grad_norm": 0.5598291754722595,
|
196 |
+
"learning_rate": 0.0002025,
|
197 |
+
"loss": 1.6744,
|
198 |
+
"step": 135
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.22,
|
202 |
+
"grad_norm": 0.5184920430183411,
|
203 |
+
"learning_rate": 0.00020999999999999998,
|
204 |
+
"loss": 1.7768,
|
205 |
+
"step": 140
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.23,
|
209 |
+
"grad_norm": 0.5164936780929565,
|
210 |
+
"learning_rate": 0.00021749999999999997,
|
211 |
+
"loss": 1.6877,
|
212 |
+
"step": 145
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.24,
|
216 |
+
"grad_norm": 0.4958161413669586,
|
217 |
+
"learning_rate": 0.000225,
|
218 |
+
"loss": 1.8754,
|
219 |
+
"step": 150
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.25,
|
223 |
+
"grad_norm": 0.564961314201355,
|
224 |
+
"learning_rate": 0.00023249999999999999,
|
225 |
+
"loss": 1.6324,
|
226 |
+
"step": 155
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.26,
|
230 |
+
"grad_norm": 0.8469408750534058,
|
231 |
+
"learning_rate": 0.00023999999999999998,
|
232 |
+
"loss": 1.7146,
|
233 |
+
"step": 160
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.26,
|
237 |
+
"grad_norm": 0.6041777729988098,
|
238 |
+
"learning_rate": 0.00024749999999999994,
|
239 |
+
"loss": 1.6416,
|
240 |
+
"step": 165
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.27,
|
244 |
+
"grad_norm": 0.5473640561103821,
|
245 |
+
"learning_rate": 0.00025499999999999996,
|
246 |
+
"loss": 1.6726,
|
247 |
+
"step": 170
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.28,
|
251 |
+
"grad_norm": 0.6132262349128723,
|
252 |
+
"learning_rate": 0.0002625,
|
253 |
+
"loss": 1.7383,
|
254 |
+
"step": 175
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.29,
|
258 |
+
"grad_norm": 0.49731534719467163,
|
259 |
+
"learning_rate": 0.00027,
|
260 |
+
"loss": 1.6531,
|
261 |
+
"step": 180
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.3,
|
265 |
+
"grad_norm": 0.5386232733726501,
|
266 |
+
"learning_rate": 0.00027749999999999997,
|
267 |
+
"loss": 1.7335,
|
268 |
+
"step": 185
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.3,
|
272 |
+
"grad_norm": 0.5605046153068542,
|
273 |
+
"learning_rate": 0.000285,
|
274 |
+
"loss": 1.7373,
|
275 |
+
"step": 190
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.31,
|
279 |
+
"grad_norm": 0.7236664295196533,
|
280 |
+
"learning_rate": 0.00029249999999999995,
|
281 |
+
"loss": 1.5766,
|
282 |
+
"step": 195
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.32,
|
286 |
+
"grad_norm": 0.5735570788383484,
|
287 |
+
"learning_rate": 0.0003,
|
288 |
+
"loss": 1.7882,
|
289 |
+
"step": 200
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.32,
|
293 |
+
"eval_loss": 1.7317848205566406,
|
294 |
+
"eval_runtime": 53.4548,
|
295 |
+
"eval_samples_per_second": 9.054,
|
296 |
+
"eval_steps_per_second": 2.264,
|
297 |
+
"step": 200
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.33,
|
301 |
+
"grad_norm": 0.48291996121406555,
|
302 |
+
"learning_rate": 0.0002999934277521501,
|
303 |
+
"loss": 1.6244,
|
304 |
+
"step": 205
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.34,
|
308 |
+
"grad_norm": 0.5112442970275879,
|
309 |
+
"learning_rate": 0.00029997371158452626,
|
310 |
+
"loss": 1.6932,
|
311 |
+
"step": 210
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.34,
|
315 |
+
"grad_norm": 0.5557854771614075,
|
316 |
+
"learning_rate": 0.0002999408532248557,
|
317 |
+
"loss": 1.6655,
|
318 |
+
"step": 215
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.35,
|
322 |
+
"grad_norm": 0.477541446685791,
|
323 |
+
"learning_rate": 0.00029989485555251554,
|
324 |
+
"loss": 1.6773,
|
325 |
+
"step": 220
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.36,
|
329 |
+
"grad_norm": 0.45816484093666077,
|
330 |
+
"learning_rate": 0.00029983572259828045,
|
331 |
+
"loss": 1.5355,
|
332 |
+
"step": 225
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.37,
|
336 |
+
"grad_norm": 0.5112146735191345,
|
337 |
+
"learning_rate": 0.00029976345954396954,
|
338 |
+
"loss": 1.6489,
|
339 |
+
"step": 230
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.37,
|
343 |
+
"grad_norm": 0.5796986222267151,
|
344 |
+
"learning_rate": 0.0002996780727219923,
|
345 |
+
"loss": 1.6708,
|
346 |
+
"step": 235
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.38,
|
350 |
+
"grad_norm": 0.4717162251472473,
|
351 |
+
"learning_rate": 0.0002995795696147933,
|
352 |
+
"loss": 1.7605,
|
353 |
+
"step": 240
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.39,
|
357 |
+
"grad_norm": 0.5081738233566284,
|
358 |
+
"learning_rate": 0.00029946795885419714,
|
359 |
+
"loss": 1.7257,
|
360 |
+
"step": 245
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.4,
|
364 |
+
"grad_norm": 0.6322786808013916,
|
365 |
+
"learning_rate": 0.0002993432502206515,
|
366 |
+
"loss": 1.7894,
|
367 |
+
"step": 250
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.41,
|
371 |
+
"grad_norm": 0.626715898513794,
|
372 |
+
"learning_rate": 0.00029920545464237033,
|
373 |
+
"loss": 1.6251,
|
374 |
+
"step": 255
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.41,
|
378 |
+
"grad_norm": 0.5590308308601379,
|
379 |
+
"learning_rate": 0.0002990545841943763,
|
380 |
+
"loss": 1.602,
|
381 |
+
"step": 260
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.42,
|
385 |
+
"grad_norm": 0.5137120485305786,
|
386 |
+
"learning_rate": 0.00029889065209744235,
|
387 |
+
"loss": 1.664,
|
388 |
+
"step": 265
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.43,
|
392 |
+
"grad_norm": 0.5325127840042114,
|
393 |
+
"learning_rate": 0.0002987136727169335,
|
394 |
+
"loss": 1.5928,
|
395 |
+
"step": 270
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.44,
|
399 |
+
"grad_norm": 0.5906115174293518,
|
400 |
+
"learning_rate": 0.0002985236615615478,
|
401 |
+
"loss": 1.5565,
|
402 |
+
"step": 275
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.45,
|
406 |
+
"grad_norm": 0.5913872718811035,
|
407 |
+
"learning_rate": 0.00029832063528195733,
|
408 |
+
"loss": 1.701,
|
409 |
+
"step": 280
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.45,
|
413 |
+
"grad_norm": 0.5970895886421204,
|
414 |
+
"learning_rate": 0.0002981046116693491,
|
415 |
+
"loss": 1.5652,
|
416 |
+
"step": 285
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.46,
|
420 |
+
"grad_norm": 0.5957712531089783,
|
421 |
+
"learning_rate": 0.00029787560965386614,
|
422 |
+
"loss": 1.6611,
|
423 |
+
"step": 290
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.47,
|
427 |
+
"grad_norm": 0.5931127071380615,
|
428 |
+
"learning_rate": 0.00029763364930294854,
|
429 |
+
"loss": 1.6456,
|
430 |
+
"step": 295
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.48,
|
434 |
+
"grad_norm": 0.5497797131538391,
|
435 |
+
"learning_rate": 0.00029737875181957486,
|
436 |
+
"loss": 1.5782,
|
437 |
+
"step": 300
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.49,
|
441 |
+
"grad_norm": 0.5486745238304138,
|
442 |
+
"learning_rate": 0.00029711093954040425,
|
443 |
+
"loss": 1.7476,
|
444 |
+
"step": 305
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.49,
|
448 |
+
"grad_norm": 0.5858426690101624,
|
449 |
+
"learning_rate": 0.0002968302359338191,
|
450 |
+
"loss": 1.6871,
|
451 |
+
"step": 310
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.5,
|
455 |
+
"grad_norm": 0.5358626842498779,
|
456 |
+
"learning_rate": 0.0002965366655978683,
|
457 |
+
"loss": 1.8075,
|
458 |
+
"step": 315
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.51,
|
462 |
+
"grad_norm": 0.6227905750274658,
|
463 |
+
"learning_rate": 0.00029623025425811215,
|
464 |
+
"loss": 1.6059,
|
465 |
+
"step": 320
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.52,
|
469 |
+
"grad_norm": 0.5188565850257874,
|
470 |
+
"learning_rate": 0.0002959110287653674,
|
471 |
+
"loss": 1.7475,
|
472 |
+
"step": 325
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.53,
|
476 |
+
"grad_norm": 0.5319951772689819,
|
477 |
+
"learning_rate": 0.00029557901709335497,
|
478 |
+
"loss": 1.6401,
|
479 |
+
"step": 330
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.53,
|
483 |
+
"grad_norm": 0.5894659757614136,
|
484 |
+
"learning_rate": 0.00029523424833624806,
|
485 |
+
"loss": 1.7475,
|
486 |
+
"step": 335
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.54,
|
490 |
+
"grad_norm": 0.5921294093132019,
|
491 |
+
"learning_rate": 0.00029487675270612303,
|
492 |
+
"loss": 1.7581,
|
493 |
+
"step": 340
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.55,
|
497 |
+
"grad_norm": 0.528262734413147,
|
498 |
+
"learning_rate": 0.0002945065615303116,
|
499 |
+
"loss": 1.8347,
|
500 |
+
"step": 345
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.56,
|
504 |
+
"grad_norm": 0.6218762397766113,
|
505 |
+
"learning_rate": 0.000294123707248656,
|
506 |
+
"loss": 1.789,
|
507 |
+
"step": 350
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.57,
|
511 |
+
"grad_norm": 0.6058654189109802,
|
512 |
+
"learning_rate": 0.000293728223410666,
|
513 |
+
"loss": 1.646,
|
514 |
+
"step": 355
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.57,
|
518 |
+
"grad_norm": 0.5830885767936707,
|
519 |
+
"learning_rate": 0.00029332014467257884,
|
520 |
+
"loss": 1.7596,
|
521 |
+
"step": 360
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.58,
|
525 |
+
"grad_norm": 0.5829673409461975,
|
526 |
+
"learning_rate": 0.0002928995067943227,
|
527 |
+
"loss": 1.5936,
|
528 |
+
"step": 365
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.59,
|
532 |
+
"grad_norm": 0.569988489151001,
|
533 |
+
"learning_rate": 0.00029246634663638286,
|
534 |
+
"loss": 1.8244,
|
535 |
+
"step": 370
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.6,
|
539 |
+
"grad_norm": 0.5579255819320679,
|
540 |
+
"learning_rate": 0.0002920207021565714,
|
541 |
+
"loss": 1.7428,
|
542 |
+
"step": 375
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.61,
|
546 |
+
"grad_norm": 0.5439159274101257,
|
547 |
+
"learning_rate": 0.00029156261240670145,
|
548 |
+
"loss": 1.6165,
|
549 |
+
"step": 380
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.61,
|
553 |
+
"grad_norm": 0.6219534873962402,
|
554 |
+
"learning_rate": 0.0002910921175291646,
|
555 |
+
"loss": 1.727,
|
556 |
+
"step": 385
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.62,
|
560 |
+
"grad_norm": 0.5160556435585022,
|
561 |
+
"learning_rate": 0.00029060925875341344,
|
562 |
+
"loss": 1.5996,
|
563 |
+
"step": 390
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.63,
|
567 |
+
"grad_norm": 0.6084945797920227,
|
568 |
+
"learning_rate": 0.0002901140783923487,
|
569 |
+
"loss": 1.6613,
|
570 |
+
"step": 395
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.64,
|
574 |
+
"grad_norm": 0.552727222442627,
|
575 |
+
"learning_rate": 0.00028960661983861124,
|
576 |
+
"loss": 1.604,
|
577 |
+
"step": 400
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.64,
|
581 |
+
"eval_loss": 1.7020632028579712,
|
582 |
+
"eval_runtime": 53.5236,
|
583 |
+
"eval_samples_per_second": 9.043,
|
584 |
+
"eval_steps_per_second": 2.261,
|
585 |
+
"step": 400
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.65,
|
589 |
+
"grad_norm": 0.6136419177055359,
|
590 |
+
"learning_rate": 0.00028908692756077957,
|
591 |
+
"loss": 1.6674,
|
592 |
+
"step": 405
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.65,
|
596 |
+
"grad_norm": 0.6204317212104797,
|
597 |
+
"learning_rate": 0.00028855504709947305,
|
598 |
+
"loss": 1.7643,
|
599 |
+
"step": 410
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.66,
|
603 |
+
"grad_norm": 0.5804699659347534,
|
604 |
+
"learning_rate": 0.0002880110250633613,
|
605 |
+
"loss": 1.5933,
|
606 |
+
"step": 415
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 0.67,
|
610 |
+
"grad_norm": 0.5574301481246948,
|
611 |
+
"learning_rate": 0.0002874549091250797,
|
612 |
+
"loss": 1.6314,
|
613 |
+
"step": 420
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 0.68,
|
617 |
+
"grad_norm": 0.666695773601532,
|
618 |
+
"learning_rate": 0.00028688674801705203,
|
619 |
+
"loss": 1.62,
|
620 |
+
"step": 425
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.69,
|
624 |
+
"grad_norm": 0.5769309997558594,
|
625 |
+
"learning_rate": 0.0002863065915272199,
|
626 |
+
"loss": 1.7478,
|
627 |
+
"step": 430
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.69,
|
631 |
+
"grad_norm": 0.5807488560676575,
|
632 |
+
"learning_rate": 0.0002857144904946799,
|
633 |
+
"loss": 1.7793,
|
634 |
+
"step": 435
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 0.7,
|
638 |
+
"grad_norm": 0.60151606798172,
|
639 |
+
"learning_rate": 0.0002851104968052284,
|
640 |
+
"loss": 1.6921,
|
641 |
+
"step": 440
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.71,
|
645 |
+
"grad_norm": 0.5778372883796692,
|
646 |
+
"learning_rate": 0.00028449466338681525,
|
647 |
+
"loss": 1.6779,
|
648 |
+
"step": 445
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 0.72,
|
652 |
+
"grad_norm": 0.6416473388671875,
|
653 |
+
"learning_rate": 0.00028386704420490513,
|
654 |
+
"loss": 1.6848,
|
655 |
+
"step": 450
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 0.73,
|
659 |
+
"grad_norm": 0.681058943271637,
|
660 |
+
"learning_rate": 0.0002832276942577491,
|
661 |
+
"loss": 1.7468,
|
662 |
+
"step": 455
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.73,
|
666 |
+
"grad_norm": 0.6174286007881165,
|
667 |
+
"learning_rate": 0.0002825766695715646,
|
668 |
+
"loss": 1.6839,
|
669 |
+
"step": 460
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.74,
|
673 |
+
"grad_norm": 0.742919385433197,
|
674 |
+
"learning_rate": 0.0002819140271956262,
|
675 |
+
"loss": 1.7846,
|
676 |
+
"step": 465
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 0.75,
|
680 |
+
"grad_norm": 0.744145929813385,
|
681 |
+
"learning_rate": 0.00028123982519726634,
|
682 |
+
"loss": 1.6862,
|
683 |
+
"step": 470
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.76,
|
687 |
+
"grad_norm": 0.590994656085968,
|
688 |
+
"learning_rate": 0.0002805541226567869,
|
689 |
+
"loss": 1.6675,
|
690 |
+
"step": 475
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 0.77,
|
694 |
+
"grad_norm": 0.6487185955047607,
|
695 |
+
"learning_rate": 0.0002798569796622817,
|
696 |
+
"loss": 1.5819,
|
697 |
+
"step": 480
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.77,
|
701 |
+
"grad_norm": 0.6046218276023865,
|
702 |
+
"learning_rate": 0.00027914845730437135,
|
703 |
+
"loss": 1.6375,
|
704 |
+
"step": 485
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.78,
|
708 |
+
"grad_norm": 0.6337038278579712,
|
709 |
+
"learning_rate": 0.00027842861767084996,
|
710 |
+
"loss": 1.8259,
|
711 |
+
"step": 490
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.79,
|
715 |
+
"grad_norm": 0.6214140057563782,
|
716 |
+
"learning_rate": 0.00027769752384124375,
|
717 |
+
"loss": 1.7048,
|
718 |
+
"step": 495
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.8,
|
722 |
+
"grad_norm": 0.646763026714325,
|
723 |
+
"learning_rate": 0.00027695523988128417,
|
724 |
+
"loss": 1.7394,
|
725 |
+
"step": 500
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.81,
|
729 |
+
"grad_norm": 0.5836499929428101,
|
730 |
+
"learning_rate": 0.0002762018308372934,
|
731 |
+
"loss": 1.6096,
|
732 |
+
"step": 505
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 0.81,
|
736 |
+
"grad_norm": 0.557185709476471,
|
737 |
+
"learning_rate": 0.0002754373627304842,
|
738 |
+
"loss": 1.6317,
|
739 |
+
"step": 510
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.82,
|
743 |
+
"grad_norm": 0.5877421498298645,
|
744 |
+
"learning_rate": 0.00027466190255117506,
|
745 |
+
"loss": 1.6814,
|
746 |
+
"step": 515
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.83,
|
750 |
+
"grad_norm": 0.6311076283454895,
|
751 |
+
"learning_rate": 0.00027387551825291907,
|
752 |
+
"loss": 1.7358,
|
753 |
+
"step": 520
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.84,
|
757 |
+
"grad_norm": 0.57215815782547,
|
758 |
+
"learning_rate": 0.0002730782787465499,
|
759 |
+
"loss": 1.5929,
|
760 |
+
"step": 525
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 0.85,
|
764 |
+
"grad_norm": 0.6365725994110107,
|
765 |
+
"learning_rate": 0.0002722702538941425,
|
766 |
+
"loss": 1.6938,
|
767 |
+
"step": 530
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.85,
|
771 |
+
"grad_norm": 0.6177056431770325,
|
772 |
+
"learning_rate": 0.0002714515145028916,
|
773 |
+
"loss": 1.6506,
|
774 |
+
"step": 535
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.86,
|
778 |
+
"grad_norm": 0.6062068343162537,
|
779 |
+
"learning_rate": 0.0002706221323189066,
|
780 |
+
"loss": 1.7848,
|
781 |
+
"step": 540
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 0.87,
|
785 |
+
"grad_norm": 0.6754643321037292,
|
786 |
+
"learning_rate": 0.0002697821800209244,
|
787 |
+
"loss": 1.6818,
|
788 |
+
"step": 545
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.88,
|
792 |
+
"grad_norm": 0.5303813219070435,
|
793 |
+
"learning_rate": 0.00026893173121394094,
|
794 |
+
"loss": 1.6557,
|
795 |
+
"step": 550
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.89,
|
799 |
+
"grad_norm": 0.560896635055542,
|
800 |
+
"learning_rate": 0.00026807086042276074,
|
801 |
+
"loss": 1.5825,
|
802 |
+
"step": 555
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 0.89,
|
806 |
+
"grad_norm": 0.5587555766105652,
|
807 |
+
"learning_rate": 0.00026719964308546647,
|
808 |
+
"loss": 1.8095,
|
809 |
+
"step": 560
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.9,
|
813 |
+
"grad_norm": 0.5372602343559265,
|
814 |
+
"learning_rate": 0.00026631815554680854,
|
815 |
+
"loss": 1.5673,
|
816 |
+
"step": 565
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 0.91,
|
820 |
+
"grad_norm": 0.7331911325454712,
|
821 |
+
"learning_rate": 0.0002654264750515146,
|
822 |
+
"loss": 1.6092,
|
823 |
+
"step": 570
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 0.92,
|
827 |
+
"grad_norm": 0.5914915800094604,
|
828 |
+
"learning_rate": 0.00026452467973752097,
|
829 |
+
"loss": 1.6226,
|
830 |
+
"step": 575
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.93,
|
834 |
+
"grad_norm": 0.6332432627677917,
|
835 |
+
"learning_rate": 0.0002636128486291251,
|
836 |
+
"loss": 1.687,
|
837 |
+
"step": 580
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.93,
|
841 |
+
"grad_norm": 0.5786017179489136,
|
842 |
+
"learning_rate": 0.00026269106163006093,
|
843 |
+
"loss": 1.7443,
|
844 |
+
"step": 585
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 0.94,
|
848 |
+
"grad_norm": 0.6086643934249878,
|
849 |
+
"learning_rate": 0.0002617593995164967,
|
850 |
+
"loss": 1.6546,
|
851 |
+
"step": 590
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 0.95,
|
855 |
+
"grad_norm": 0.6353456377983093,
|
856 |
+
"learning_rate": 0.00026081794392995676,
|
857 |
+
"loss": 1.6635,
|
858 |
+
"step": 595
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 0.96,
|
862 |
+
"grad_norm": 0.6383431553840637,
|
863 |
+
"learning_rate": 0.00025986677737016713,
|
864 |
+
"loss": 1.706,
|
865 |
+
"step": 600
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 0.96,
|
869 |
+
"eval_loss": 1.6813957691192627,
|
870 |
+
"eval_runtime": 53.307,
|
871 |
+
"eval_samples_per_second": 9.079,
|
872 |
+
"eval_steps_per_second": 2.27,
|
873 |
+
"step": 600
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.97,
|
877 |
+
"grad_norm": 0.6295060515403748,
|
878 |
+
"learning_rate": 0.0002589059831878262,
|
879 |
+
"loss": 1.6353,
|
880 |
+
"step": 605
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"epoch": 0.97,
|
884 |
+
"grad_norm": 0.6981686353683472,
|
885 |
+
"learning_rate": 0.00025793564557730065,
|
886 |
+
"loss": 1.6768,
|
887 |
+
"step": 610
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"epoch": 0.98,
|
891 |
+
"grad_norm": 0.6336885094642639,
|
892 |
+
"learning_rate": 0.0002569558495692474,
|
893 |
+
"loss": 1.6594,
|
894 |
+
"step": 615
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 0.99,
|
898 |
+
"grad_norm": 0.6425840258598328,
|
899 |
+
"learning_rate": 0.00025596668102316266,
|
900 |
+
"loss": 1.7709,
|
901 |
+
"step": 620
|
902 |
+
},
|
903 |
+
{
|
904 |
+
"epoch": 1.0,
|
905 |
+
"grad_norm": 0.5762469172477722,
|
906 |
+
"learning_rate": 0.0002549682266198577,
|
907 |
+
"loss": 1.599,
|
908 |
+
"step": 625
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 1.01,
|
912 |
+
"grad_norm": 0.6281951069831848,
|
913 |
+
"learning_rate": 0.00025396057385386326,
|
914 |
+
"loss": 1.6798,
|
915 |
+
"step": 630
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 1.01,
|
919 |
+
"grad_norm": 0.6240226030349731,
|
920 |
+
"learning_rate": 0.0002529438110257623,
|
921 |
+
"loss": 1.491,
|
922 |
+
"step": 635
|
923 |
+
},
|
924 |
+
{
|
925 |
+
"epoch": 1.02,
|
926 |
+
"grad_norm": 0.7243877053260803,
|
927 |
+
"learning_rate": 0.00025191802723445233,
|
928 |
+
"loss": 1.6763,
|
929 |
+
"step": 640
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 1.03,
|
933 |
+
"grad_norm": 0.7280773520469666,
|
934 |
+
"learning_rate": 0.0002508833123693376,
|
935 |
+
"loss": 1.5093,
|
936 |
+
"step": 645
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 1.04,
|
940 |
+
"grad_norm": 0.6628164649009705,
|
941 |
+
"learning_rate": 0.0002498397571024521,
|
942 |
+
"loss": 1.5736,
|
943 |
+
"step": 650
|
944 |
+
},
|
945 |
+
{
|
946 |
+
"epoch": 1.05,
|
947 |
+
"grad_norm": 0.8163209557533264,
|
948 |
+
"learning_rate": 0.00024878745288051384,
|
949 |
+
"loss": 1.6704,
|
950 |
+
"step": 655
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 1.05,
|
954 |
+
"grad_norm": 0.7377064228057861,
|
955 |
+
"learning_rate": 0.0002477264919169117,
|
956 |
+
"loss": 1.6146,
|
957 |
+
"step": 660
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 1.06,
|
961 |
+
"grad_norm": 0.7334110140800476,
|
962 |
+
"learning_rate": 0.0002466569671836246,
|
963 |
+
"loss": 1.5641,
|
964 |
+
"step": 665
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 1.07,
|
968 |
+
"grad_norm": 0.708491325378418,
|
969 |
+
"learning_rate": 0.000245578972403074,
|
970 |
+
"loss": 1.6447,
|
971 |
+
"step": 670
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 1.08,
|
975 |
+
"grad_norm": 0.688526451587677,
|
976 |
+
"learning_rate": 0.0002444926020399118,
|
977 |
+
"loss": 1.4617,
|
978 |
+
"step": 675
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 1.08,
|
982 |
+
"grad_norm": 0.6798132658004761,
|
983 |
+
"learning_rate": 0.00024339795129274178,
|
984 |
+
"loss": 1.4603,
|
985 |
+
"step": 680
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"epoch": 1.09,
|
989 |
+
"grad_norm": 0.7954903244972229,
|
990 |
+
"learning_rate": 0.0002422951160857775,
|
991 |
+
"loss": 1.6878,
|
992 |
+
"step": 685
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 1.1,
|
996 |
+
"grad_norm": 0.7106612920761108,
|
997 |
+
"learning_rate": 0.00024118419306043653,
|
998 |
+
"loss": 1.5761,
|
999 |
+
"step": 690
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 1.11,
|
1003 |
+
"grad_norm": 0.6339300870895386,
|
1004 |
+
"learning_rate": 0.00024006527956687171,
|
1005 |
+
"loss": 1.6388,
|
1006 |
+
"step": 695
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 1.12,
|
1010 |
+
"grad_norm": 0.6403482556343079,
|
1011 |
+
"learning_rate": 0.00023893847365544043,
|
1012 |
+
"loss": 1.6328,
|
1013 |
+
"step": 700
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 1.12,
|
1017 |
+
"grad_norm": 0.6963227391242981,
|
1018 |
+
"learning_rate": 0.0002378038740681124,
|
1019 |
+
"loss": 1.5307,
|
1020 |
+
"step": 705
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 1.13,
|
1024 |
+
"grad_norm": 0.7481818795204163,
|
1025 |
+
"learning_rate": 0.00023666158022981696,
|
1026 |
+
"loss": 1.544,
|
1027 |
+
"step": 710
|
1028 |
+
},
|
1029 |
+
{
|
1030 |
+
"epoch": 1.14,
|
1031 |
+
"grad_norm": 0.6810987591743469,
|
1032 |
+
"learning_rate": 0.00023551169223973037,
|
1033 |
+
"loss": 1.4045,
|
1034 |
+
"step": 715
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 1.15,
|
1038 |
+
"grad_norm": 0.7195698022842407,
|
1039 |
+
"learning_rate": 0.00023435431086250424,
|
1040 |
+
"loss": 1.5408,
|
1041 |
+
"step": 720
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 1.16,
|
1045 |
+
"grad_norm": 0.8156709671020508,
|
1046 |
+
"learning_rate": 0.0002331895375194355,
|
1047 |
+
"loss": 1.5569,
|
1048 |
+
"step": 725
|
1049 |
+
},
|
1050 |
+
{
|
1051 |
+
"epoch": 1.16,
|
1052 |
+
"grad_norm": 0.6353544592857361,
|
1053 |
+
"learning_rate": 0.00023201747427957882,
|
1054 |
+
"loss": 1.5852,
|
1055 |
+
"step": 730
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 1.17,
|
1059 |
+
"grad_norm": 0.7116926312446594,
|
1060 |
+
"learning_rate": 0.0002308382238508023,
|
1061 |
+
"loss": 1.5359,
|
1062 |
+
"step": 735
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 1.18,
|
1066 |
+
"grad_norm": 0.7053561806678772,
|
1067 |
+
"learning_rate": 0.0002296518895707871,
|
1068 |
+
"loss": 1.6377,
|
1069 |
+
"step": 740
|
1070 |
+
},
|
1071 |
+
{
|
1072 |
+
"epoch": 1.19,
|
1073 |
+
"grad_norm": 0.8180266618728638,
|
1074 |
+
"learning_rate": 0.0002284585753979723,
|
1075 |
+
"loss": 1.5982,
|
1076 |
+
"step": 745
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 1.2,
|
1080 |
+
"grad_norm": 0.6952159404754639,
|
1081 |
+
"learning_rate": 0.00022725838590244472,
|
1082 |
+
"loss": 1.5485,
|
1083 |
+
"step": 750
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 1.2,
|
1087 |
+
"grad_norm": 0.8135376572608948,
|
1088 |
+
"learning_rate": 0.00022605142625677525,
|
1089 |
+
"loss": 1.6058,
|
1090 |
+
"step": 755
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 1.21,
|
1094 |
+
"grad_norm": 0.6240015625953674,
|
1095 |
+
"learning_rate": 0.00022483780222680314,
|
1096 |
+
"loss": 1.6065,
|
1097 |
+
"step": 760
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 1.22,
|
1101 |
+
"grad_norm": 0.8067346215248108,
|
1102 |
+
"learning_rate": 0.00022361762016236738,
|
1103 |
+
"loss": 1.5782,
|
1104 |
+
"step": 765
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 1.23,
|
1108 |
+
"grad_norm": 0.7767935991287231,
|
1109 |
+
"learning_rate": 0.0002223909869879872,
|
1110 |
+
"loss": 1.4984,
|
1111 |
+
"step": 770
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 1.24,
|
1115 |
+
"grad_norm": 0.7751308083534241,
|
1116 |
+
"learning_rate": 0.00022115801019349256,
|
1117 |
+
"loss": 1.6065,
|
1118 |
+
"step": 775
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 1.24,
|
1122 |
+
"grad_norm": 0.6872211694717407,
|
1123 |
+
"learning_rate": 0.00021991879782460468,
|
1124 |
+
"loss": 1.6571,
|
1125 |
+
"step": 780
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 1.25,
|
1129 |
+
"grad_norm": 0.6883332133293152,
|
1130 |
+
"learning_rate": 0.00021867345847346783,
|
1131 |
+
"loss": 1.587,
|
1132 |
+
"step": 785
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 1.26,
|
1136 |
+
"grad_norm": 0.6802603006362915,
|
1137 |
+
"learning_rate": 0.00021742210126913364,
|
1138 |
+
"loss": 1.527,
|
1139 |
+
"step": 790
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 1.27,
|
1143 |
+
"grad_norm": 0.8581397533416748,
|
1144 |
+
"learning_rate": 0.0002161648358679981,
|
1145 |
+
"loss": 1.5975,
|
1146 |
+
"step": 795
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 1.28,
|
1150 |
+
"grad_norm": 0.779639482498169,
|
1151 |
+
"learning_rate": 0.00021490177244419225,
|
1152 |
+
"loss": 1.5361,
|
1153 |
+
"step": 800
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 1.28,
|
1157 |
+
"eval_loss": 1.6755969524383545,
|
1158 |
+
"eval_runtime": 54.1533,
|
1159 |
+
"eval_samples_per_second": 8.938,
|
1160 |
+
"eval_steps_per_second": 2.234,
|
1161 |
+
"step": 800
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 1.28,
|
1165 |
+
"grad_norm": 0.7144075036048889,
|
1166 |
+
"learning_rate": 0.00021363302167992773,
|
1167 |
+
"loss": 1.6061,
|
1168 |
+
"step": 805
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 1.29,
|
1172 |
+
"grad_norm": 0.7203413844108582,
|
1173 |
+
"learning_rate": 0.00021235869475579763,
|
1174 |
+
"loss": 1.5182,
|
1175 |
+
"step": 810
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 1.3,
|
1179 |
+
"grad_norm": 0.7165353298187256,
|
1180 |
+
"learning_rate": 0.00021107890334103372,
|
1181 |
+
"loss": 1.4595,
|
1182 |
+
"step": 815
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 1.31,
|
1186 |
+
"grad_norm": 0.7226712703704834,
|
1187 |
+
"learning_rate": 0.0002097937595837211,
|
1188 |
+
"loss": 1.5236,
|
1189 |
+
"step": 820
|
1190 |
+
},
|
1191 |
+
{
|
1192 |
+
"epoch": 1.32,
|
1193 |
+
"grad_norm": 0.6462448239326477,
|
1194 |
+
"learning_rate": 0.00020850337610097027,
|
1195 |
+
"loss": 1.6672,
|
1196 |
+
"step": 825
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 1.32,
|
1200 |
+
"grad_norm": 0.8719556331634521,
|
1201 |
+
"learning_rate": 0.00020720786596904893,
|
1202 |
+
"loss": 1.5598,
|
1203 |
+
"step": 830
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 1.33,
|
1207 |
+
"grad_norm": 0.8658766150474548,
|
1208 |
+
"learning_rate": 0.0002059073427134727,
|
1209 |
+
"loss": 1.6314,
|
1210 |
+
"step": 835
|
1211 |
+
},
|
1212 |
+
{
|
1213 |
+
"epoch": 1.34,
|
1214 |
+
"grad_norm": 0.6820198893547058,
|
1215 |
+
"learning_rate": 0.00020460192029905726,
|
1216 |
+
"loss": 1.5311,
|
1217 |
+
"step": 840
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 1.35,
|
1221 |
+
"grad_norm": 0.6817758083343506,
|
1222 |
+
"learning_rate": 0.00020329171311993135,
|
1223 |
+
"loss": 1.4233,
|
1224 |
+
"step": 845
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 1.36,
|
1228 |
+
"grad_norm": 0.7133145928382874,
|
1229 |
+
"learning_rate": 0.00020197683598951248,
|
1230 |
+
"loss": 1.5895,
|
1231 |
+
"step": 850
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 1.36,
|
1235 |
+
"grad_norm": 0.684045135974884,
|
1236 |
+
"learning_rate": 0.00020065740413044588,
|
1237 |
+
"loss": 1.7072,
|
1238 |
+
"step": 855
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 1.37,
|
1242 |
+
"grad_norm": 0.8078965544700623,
|
1243 |
+
"learning_rate": 0.0001993335331645076,
|
1244 |
+
"loss": 1.6305,
|
1245 |
+
"step": 860
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 1.38,
|
1249 |
+
"grad_norm": 0.7130747437477112,
|
1250 |
+
"learning_rate": 0.00019800533910247243,
|
1251 |
+
"loss": 1.5375,
|
1252 |
+
"step": 865
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 1.39,
|
1256 |
+
"grad_norm": 0.8379193544387817,
|
1257 |
+
"learning_rate": 0.00019667293833394793,
|
1258 |
+
"loss": 1.5368,
|
1259 |
+
"step": 870
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 1.4,
|
1263 |
+
"grad_norm": 0.8084167242050171,
|
1264 |
+
"learning_rate": 0.00019533644761717518,
|
1265 |
+
"loss": 1.729,
|
1266 |
+
"step": 875
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 1.4,
|
1270 |
+
"grad_norm": 0.8069108724594116,
|
1271 |
+
"learning_rate": 0.00019399598406879748,
|
1272 |
+
"loss": 1.5978,
|
1273 |
+
"step": 880
|
1274 |
+
},
|
1275 |
+
{
|
1276 |
+
"epoch": 1.41,
|
1277 |
+
"grad_norm": 0.8795610666275024,
|
1278 |
+
"learning_rate": 0.0001926516651535971,
|
1279 |
+
"loss": 1.7128,
|
1280 |
+
"step": 885
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 1.42,
|
1284 |
+
"grad_norm": 0.7351583242416382,
|
1285 |
+
"learning_rate": 0.00019130360867420203,
|
1286 |
+
"loss": 1.6878,
|
1287 |
+
"step": 890
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 1.43,
|
1291 |
+
"grad_norm": 0.747438907623291,
|
1292 |
+
"learning_rate": 0.00018995193276076294,
|
1293 |
+
"loss": 1.4505,
|
1294 |
+
"step": 895
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 1.44,
|
1298 |
+
"grad_norm": 0.7769878506660461,
|
1299 |
+
"learning_rate": 0.00018859675586060134,
|
1300 |
+
"loss": 1.4913,
|
1301 |
+
"step": 900
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 1.44,
|
1305 |
+
"grad_norm": 0.7609659433364868,
|
1306 |
+
"learning_rate": 0.0001872381967278302,
|
1307 |
+
"loss": 1.6376,
|
1308 |
+
"step": 905
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 1.45,
|
1312 |
+
"grad_norm": 0.7220240831375122,
|
1313 |
+
"learning_rate": 0.00018587637441294734,
|
1314 |
+
"loss": 1.5796,
|
1315 |
+
"step": 910
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 1.46,
|
1319 |
+
"grad_norm": 0.7993665337562561,
|
1320 |
+
"learning_rate": 0.00018451140825240312,
|
1321 |
+
"loss": 1.5595,
|
1322 |
+
"step": 915
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 1.47,
|
1326 |
+
"grad_norm": 0.7627410292625427,
|
1327 |
+
"learning_rate": 0.00018314341785814317,
|
1328 |
+
"loss": 1.618,
|
1329 |
+
"step": 920
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 1.48,
|
1333 |
+
"grad_norm": 0.7644938826560974,
|
1334 |
+
"learning_rate": 0.00018177252310712646,
|
1335 |
+
"loss": 1.5943,
|
1336 |
+
"step": 925
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 1.48,
|
1340 |
+
"grad_norm": 0.6797645688056946,
|
1341 |
+
"learning_rate": 0.00018039884413082065,
|
1342 |
+
"loss": 1.5168,
|
1343 |
+
"step": 930
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 1.49,
|
1347 |
+
"grad_norm": 0.7855983376502991,
|
1348 |
+
"learning_rate": 0.00017902250130467524,
|
1349 |
+
"loss": 1.3884,
|
1350 |
+
"step": 935
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 1.5,
|
1354 |
+
"grad_norm": 0.7340678572654724,
|
1355 |
+
"learning_rate": 0.00017764361523757246,
|
1356 |
+
"loss": 1.6262,
|
1357 |
+
"step": 940
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 1.51,
|
1361 |
+
"grad_norm": 0.9311641454696655,
|
1362 |
+
"learning_rate": 0.00017626230676125887,
|
1363 |
+
"loss": 1.5546,
|
1364 |
+
"step": 945
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 1.52,
|
1368 |
+
"grad_norm": 0.7892611622810364,
|
1369 |
+
"learning_rate": 0.0001748786969197567,
|
1370 |
+
"loss": 1.541,
|
1371 |
+
"step": 950
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 1.52,
|
1375 |
+
"grad_norm": 0.737107515335083,
|
1376 |
+
"learning_rate": 0.00017349290695875668,
|
1377 |
+
"loss": 1.543,
|
1378 |
+
"step": 955
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 1.53,
|
1382 |
+
"grad_norm": 0.7268142104148865,
|
1383 |
+
"learning_rate": 0.00017210505831499336,
|
1384 |
+
"loss": 1.3838,
|
1385 |
+
"step": 960
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 1.54,
|
1389 |
+
"grad_norm": 0.7059959769248962,
|
1390 |
+
"learning_rate": 0.00017071527260560356,
|
1391 |
+
"loss": 1.4105,
|
1392 |
+
"step": 965
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 1.55,
|
1396 |
+
"grad_norm": 0.7432154417037964,
|
1397 |
+
"learning_rate": 0.00016932367161746922,
|
1398 |
+
"loss": 1.5525,
|
1399 |
+
"step": 970
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 1.56,
|
1403 |
+
"grad_norm": 0.7598636746406555,
|
1404 |
+
"learning_rate": 0.00016793037729654503,
|
1405 |
+
"loss": 1.4841,
|
1406 |
+
"step": 975
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 1.56,
|
1410 |
+
"grad_norm": 0.7130389213562012,
|
1411 |
+
"learning_rate": 0.0001665355117371723,
|
1412 |
+
"loss": 1.6633,
|
1413 |
+
"step": 980
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 1.57,
|
1417 |
+
"grad_norm": 0.7120307087898254,
|
1418 |
+
"learning_rate": 0.00016513919717138015,
|
1419 |
+
"loss": 1.661,
|
1420 |
+
"step": 985
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 1.58,
|
1424 |
+
"grad_norm": 0.7838018536567688,
|
1425 |
+
"learning_rate": 0.00016374155595817383,
|
1426 |
+
"loss": 1.4154,
|
1427 |
+
"step": 990
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 1.59,
|
1431 |
+
"grad_norm": 0.8129784464836121,
|
1432 |
+
"learning_rate": 0.00016234271057281288,
|
1433 |
+
"loss": 1.4759,
|
1434 |
+
"step": 995
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 1.6,
|
1438 |
+
"grad_norm": 0.7084518671035767,
|
1439 |
+
"learning_rate": 0.0001609427835960783,
|
1440 |
+
"loss": 1.5625,
|
1441 |
+
"step": 1000
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 1.6,
|
1445 |
+
"eval_loss": 1.656510591506958,
|
1446 |
+
"eval_runtime": 53.8113,
|
1447 |
+
"eval_samples_per_second": 8.994,
|
1448 |
+
"eval_steps_per_second": 2.249,
|
1449 |
+
"step": 1000
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 1.6,
|
1453 |
+
"grad_norm": 0.7194417715072632,
|
1454 |
+
"learning_rate": 0.00015954189770353086,
|
1455 |
+
"loss": 1.6973,
|
1456 |
+
"step": 1005
|
1457 |
+
},
|
1458 |
+
{
|
1459 |
+
"epoch": 1.61,
|
1460 |
+
"grad_norm": 0.8406971096992493,
|
1461 |
+
"learning_rate": 0.00015814017565476122,
|
1462 |
+
"loss": 1.5086,
|
1463 |
+
"step": 1010
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 1.62,
|
1467 |
+
"grad_norm": 0.7156040072441101,
|
1468 |
+
"learning_rate": 0.0001567377402826323,
|
1469 |
+
"loss": 1.6073,
|
1470 |
+
"step": 1015
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 1.63,
|
1474 |
+
"grad_norm": 0.7198348045349121,
|
1475 |
+
"learning_rate": 0.00015533471448251555,
|
1476 |
+
"loss": 1.5575,
|
1477 |
+
"step": 1020
|
1478 |
+
},
|
1479 |
+
{
|
1480 |
+
"epoch": 1.64,
|
1481 |
+
"grad_norm": 0.7150219678878784,
|
1482 |
+
"learning_rate": 0.0001539312212015217,
|
1483 |
+
"loss": 1.5192,
|
1484 |
+
"step": 1025
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 1.64,
|
1488 |
+
"grad_norm": 0.6892033815383911,
|
1489 |
+
"learning_rate": 0.0001525273834277266,
|
1490 |
+
"loss": 1.4947,
|
1491 |
+
"step": 1030
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 1.65,
|
1495 |
+
"grad_norm": 0.7327867746353149,
|
1496 |
+
"learning_rate": 0.00015112332417939418,
|
1497 |
+
"loss": 1.5601,
|
1498 |
+
"step": 1035
|
1499 |
+
},
|
1500 |
+
{
|
1501 |
+
"epoch": 1.66,
|
1502 |
+
"grad_norm": 0.6658421754837036,
|
1503 |
+
"learning_rate": 0.00014971916649419615,
|
1504 |
+
"loss": 1.6199,
|
1505 |
+
"step": 1040
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 1.67,
|
1509 |
+
"grad_norm": 0.8288849592208862,
|
1510 |
+
"learning_rate": 0.00014831503341843018,
|
1511 |
+
"loss": 1.6261,
|
1512 |
+
"step": 1045
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 1.68,
|
1516 |
+
"grad_norm": 0.7870001196861267,
|
1517 |
+
"learning_rate": 0.00014691104799623744,
|
1518 |
+
"loss": 1.5233,
|
1519 |
+
"step": 1050
|
1520 |
+
},
|
1521 |
+
{
|
1522 |
+
"epoch": 1.68,
|
1523 |
+
"grad_norm": 0.7046535015106201,
|
1524 |
+
"learning_rate": 0.00014550733325882024,
|
1525 |
+
"loss": 1.6226,
|
1526 |
+
"step": 1055
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 1.69,
|
1530 |
+
"grad_norm": 0.7216707468032837,
|
1531 |
+
"learning_rate": 0.0001441040122136608,
|
1532 |
+
"loss": 1.4483,
|
1533 |
+
"step": 1060
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 1.7,
|
1537 |
+
"grad_norm": 0.7812987565994263,
|
1538 |
+
"learning_rate": 0.00014270120783374204,
|
1539 |
+
"loss": 1.512,
|
1540 |
+
"step": 1065
|
1541 |
+
},
|
1542 |
+
{
|
1543 |
+
"epoch": 1.71,
|
1544 |
+
"grad_norm": 0.7140246629714966,
|
1545 |
+
"learning_rate": 0.0001412990430467715,
|
1546 |
+
"loss": 1.5703,
|
1547 |
+
"step": 1070
|
1548 |
+
},
|
1549 |
+
{
|
1550 |
+
"epoch": 1.72,
|
1551 |
+
"grad_norm": 0.8250936269760132,
|
1552 |
+
"learning_rate": 0.00013989764072440945,
|
1553 |
+
"loss": 1.5059,
|
1554 |
+
"step": 1075
|
1555 |
+
},
|
1556 |
+
{
|
1557 |
+
"epoch": 1.72,
|
1558 |
+
"grad_norm": 0.7511314749717712,
|
1559 |
+
"learning_rate": 0.000138497123671501,
|
1560 |
+
"loss": 1.6571,
|
1561 |
+
"step": 1080
|
1562 |
+
},
|
1563 |
+
{
|
1564 |
+
"epoch": 1.73,
|
1565 |
+
"grad_norm": 0.7608028054237366,
|
1566 |
+
"learning_rate": 0.00013709761461531552,
|
1567 |
+
"loss": 1.4981,
|
1568 |
+
"step": 1085
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 1.74,
|
1572 |
+
"grad_norm": 0.8892323970794678,
|
1573 |
+
"learning_rate": 0.00013569923619479138,
|
1574 |
+
"loss": 1.5202,
|
1575 |
+
"step": 1090
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 1.75,
|
1579 |
+
"grad_norm": 0.7229086756706238,
|
1580 |
+
"learning_rate": 0.00013430211094978955,
|
1581 |
+
"loss": 1.5342,
|
1582 |
+
"step": 1095
|
1583 |
+
},
|
1584 |
+
{
|
1585 |
+
"epoch": 1.76,
|
1586 |
+
"grad_norm": 0.814064621925354,
|
1587 |
+
"learning_rate": 0.00013290636131035513,
|
1588 |
+
"loss": 1.4798,
|
1589 |
+
"step": 1100
|
1590 |
+
},
|
1591 |
+
{
|
1592 |
+
"epoch": 1.76,
|
1593 |
+
"grad_norm": 0.5819219350814819,
|
1594 |
+
"learning_rate": 0.0001315121095859891,
|
1595 |
+
"loss": 1.3957,
|
1596 |
+
"step": 1105
|
1597 |
+
},
|
1598 |
+
{
|
1599 |
+
"epoch": 1.77,
|
1600 |
+
"grad_norm": 0.7352663278579712,
|
1601 |
+
"learning_rate": 0.00013011947795492994,
|
1602 |
+
"loss": 1.5094,
|
1603 |
+
"step": 1110
|
1604 |
+
},
|
1605 |
+
{
|
1606 |
+
"epoch": 1.78,
|
1607 |
+
"grad_norm": 0.7600275874137878,
|
1608 |
+
"learning_rate": 0.0001287285884534478,
|
1609 |
+
"loss": 1.4571,
|
1610 |
+
"step": 1115
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 1.79,
|
1614 |
+
"grad_norm": 0.795772910118103,
|
1615 |
+
"learning_rate": 0.00012733956296514954,
|
1616 |
+
"loss": 1.5675,
|
1617 |
+
"step": 1120
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 1.79,
|
1621 |
+
"grad_norm": 0.8060831427574158,
|
1622 |
+
"learning_rate": 0.0001259525232102991,
|
1623 |
+
"loss": 1.4759,
|
1624 |
+
"step": 1125
|
1625 |
+
},
|
1626 |
+
{
|
1627 |
+
"epoch": 1.8,
|
1628 |
+
"grad_norm": 0.8213143348693848,
|
1629 |
+
"learning_rate": 0.0001245675907351503,
|
1630 |
+
"loss": 1.6123,
|
1631 |
+
"step": 1130
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 1.81,
|
1635 |
+
"grad_norm": 0.7344096302986145,
|
1636 |
+
"learning_rate": 0.00012318488690129633,
|
1637 |
+
"loss": 1.5137,
|
1638 |
+
"step": 1135
|
1639 |
+
},
|
1640 |
+
{
|
1641 |
+
"epoch": 1.82,
|
1642 |
+
"grad_norm": 0.6787902116775513,
|
1643 |
+
"learning_rate": 0.00012180453287503444,
|
1644 |
+
"loss": 1.6397,
|
1645 |
+
"step": 1140
|
1646 |
+
},
|
1647 |
+
{
|
1648 |
+
"epoch": 1.83,
|
1649 |
+
"grad_norm": 0.7361781001091003,
|
1650 |
+
"learning_rate": 0.00012042664961674843,
|
1651 |
+
"loss": 1.453,
|
1652 |
+
"step": 1145
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 1.83,
|
1656 |
+
"grad_norm": 0.7698022127151489,
|
1657 |
+
"learning_rate": 0.00011905135787030865,
|
1658 |
+
"loss": 1.4961,
|
1659 |
+
"step": 1150
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 1.84,
|
1663 |
+
"grad_norm": 0.7049584984779358,
|
1664 |
+
"learning_rate": 0.00011767877815249155,
|
1665 |
+
"loss": 1.5562,
|
1666 |
+
"step": 1155
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 1.85,
|
1670 |
+
"grad_norm": 0.7255071401596069,
|
1671 |
+
"learning_rate": 0.00011630903074241826,
|
1672 |
+
"loss": 1.6307,
|
1673 |
+
"step": 1160
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 1.86,
|
1677 |
+
"grad_norm": 0.7467817664146423,
|
1678 |
+
"learning_rate": 0.0001149422356710152,
|
1679 |
+
"loss": 1.4051,
|
1680 |
+
"step": 1165
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 1.87,
|
1684 |
+
"grad_norm": 0.6346266269683838,
|
1685 |
+
"learning_rate": 0.00011357851271049528,
|
1686 |
+
"loss": 1.6404,
|
1687 |
+
"step": 1170
|
1688 |
+
},
|
1689 |
+
{
|
1690 |
+
"epoch": 1.87,
|
1691 |
+
"grad_norm": 0.6892123818397522,
|
1692 |
+
"learning_rate": 0.00011221798136386238,
|
1693 |
+
"loss": 1.462,
|
1694 |
+
"step": 1175
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 1.88,
|
1698 |
+
"grad_norm": 0.7803078889846802,
|
1699 |
+
"learning_rate": 0.00011086076085443949,
|
1700 |
+
"loss": 1.6246,
|
1701 |
+
"step": 1180
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 1.89,
|
1705 |
+
"grad_norm": 0.6938590407371521,
|
1706 |
+
"learning_rate": 0.00010950697011542082,
|
1707 |
+
"loss": 1.3757,
|
1708 |
+
"step": 1185
|
1709 |
+
},
|
1710 |
+
{
|
1711 |
+
"epoch": 1.9,
|
1712 |
+
"grad_norm": 0.6958265900611877,
|
1713 |
+
"learning_rate": 0.00010815672777945013,
|
1714 |
+
"loss": 1.3996,
|
1715 |
+
"step": 1190
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 1.91,
|
1719 |
+
"grad_norm": 0.9197216033935547,
|
1720 |
+
"learning_rate": 0.00010681015216822454,
|
1721 |
+
"loss": 1.5832,
|
1722 |
+
"step": 1195
|
1723 |
+
},
|
1724 |
+
{
|
1725 |
+
"epoch": 1.91,
|
1726 |
+
"grad_norm": 0.6959114670753479,
|
1727 |
+
"learning_rate": 0.00010546736128212632,
|
1728 |
+
"loss": 1.606,
|
1729 |
+
"step": 1200
|
1730 |
+
},
|
1731 |
+
{
|
1732 |
+
"epoch": 1.91,
|
1733 |
+
"eval_loss": 1.6396043300628662,
|
1734 |
+
"eval_runtime": 53.5893,
|
1735 |
+
"eval_samples_per_second": 9.032,
|
1736 |
+
"eval_steps_per_second": 2.258,
|
1737 |
+
"step": 1200
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 1.92,
|
1741 |
+
"grad_norm": 0.8191283345222473,
|
1742 |
+
"learning_rate": 0.00010412847278988228,
|
1743 |
+
"loss": 1.5161,
|
1744 |
+
"step": 1205
|
1745 |
+
},
|
1746 |
+
{
|
1747 |
+
"epoch": 1.93,
|
1748 |
+
"grad_norm": 0.9132874011993408,
|
1749 |
+
"learning_rate": 0.00010279360401825263,
|
1750 |
+
"loss": 1.4927,
|
1751 |
+
"step": 1210
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 1.94,
|
1755 |
+
"grad_norm": 0.7479792833328247,
|
1756 |
+
"learning_rate": 0.00010146287194174953,
|
1757 |
+
"loss": 1.5343,
|
1758 |
+
"step": 1215
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 1.95,
|
1762 |
+
"grad_norm": 0.7714102864265442,
|
1763 |
+
"learning_rate": 0.00010013639317238674,
|
1764 |
+
"loss": 1.6156,
|
1765 |
+
"step": 1220
|
1766 |
+
},
|
1767 |
+
{
|
1768 |
+
"epoch": 1.95,
|
1769 |
+
"grad_norm": 0.8507571220397949,
|
1770 |
+
"learning_rate": 9.88142839494607e-05,
|
1771 |
+
"loss": 1.6551,
|
1772 |
+
"step": 1225
|
1773 |
+
},
|
1774 |
+
{
|
1775 |
+
"epoch": 1.96,
|
1776 |
+
"grad_norm": 0.8553720116615295,
|
1777 |
+
"learning_rate": 9.749666012936487e-05,
|
1778 |
+
"loss": 1.6274,
|
1779 |
+
"step": 1230
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 1.97,
|
1783 |
+
"grad_norm": 0.6895230412483215,
|
1784 |
+
"learning_rate": 9.618363717543669e-05,
|
1785 |
+
"loss": 1.5211,
|
1786 |
+
"step": 1235
|
1787 |
+
},
|
1788 |
+
{
|
1789 |
+
"epoch": 1.98,
|
1790 |
+
"grad_norm": 0.6788089871406555,
|
1791 |
+
"learning_rate": 9.487533014784007e-05,
|
1792 |
+
"loss": 1.4057,
|
1793 |
+
"step": 1240
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 1.99,
|
1797 |
+
"grad_norm": 0.851324737071991,
|
1798 |
+
"learning_rate": 9.357185369348225e-05,
|
1799 |
+
"loss": 1.3783,
|
1800 |
+
"step": 1245
|
1801 |
+
},
|
1802 |
+
{
|
1803 |
+
"epoch": 1.99,
|
1804 |
+
"grad_norm": 0.7894309163093567,
|
1805 |
+
"learning_rate": 9.227332203596764e-05,
|
1806 |
+
"loss": 1.5338,
|
1807 |
+
"step": 1250
|
1808 |
+
},
|
1809 |
+
{
|
1810 |
+
"epoch": 2.0,
|
1811 |
+
"grad_norm": 0.6584810018539429,
|
1812 |
+
"learning_rate": 9.097984896558807e-05,
|
1813 |
+
"loss": 1.4221,
|
1814 |
+
"step": 1255
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 2.01,
|
1818 |
+
"grad_norm": 0.6491633653640747,
|
1819 |
+
"learning_rate": 8.96915478293517e-05,
|
1820 |
+
"loss": 1.4814,
|
1821 |
+
"step": 1260
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 2.02,
|
1825 |
+
"grad_norm": 0.8882700800895691,
|
1826 |
+
"learning_rate": 8.840853152105004e-05,
|
1827 |
+
"loss": 1.4217,
|
1828 |
+
"step": 1265
|
1829 |
+
},
|
1830 |
+
{
|
1831 |
+
"epoch": 2.03,
|
1832 |
+
"grad_norm": 0.8957266807556152,
|
1833 |
+
"learning_rate": 8.713091247136558e-05,
|
1834 |
+
"loss": 1.4734,
|
1835 |
+
"step": 1270
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 2.03,
|
1839 |
+
"grad_norm": 0.8561681509017944,
|
1840 |
+
"learning_rate": 8.585880263801893e-05,
|
1841 |
+
"loss": 1.4981,
|
1842 |
+
"step": 1275
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 2.04,
|
1846 |
+
"grad_norm": 0.8122314810752869,
|
1847 |
+
"learning_rate": 8.459231349595824e-05,
|
1848 |
+
"loss": 1.3924,
|
1849 |
+
"step": 1280
|
1850 |
+
},
|
1851 |
+
{
|
1852 |
+
"epoch": 2.05,
|
1853 |
+
"grad_norm": 0.7481365203857422,
|
1854 |
+
"learning_rate": 8.333155602759088e-05,
|
1855 |
+
"loss": 1.5153,
|
1856 |
+
"step": 1285
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 2.06,
|
1860 |
+
"grad_norm": 0.9371137619018555,
|
1861 |
+
"learning_rate": 8.207664071305751e-05,
|
1862 |
+
"loss": 1.4867,
|
1863 |
+
"step": 1290
|
1864 |
+
},
|
1865 |
+
{
|
1866 |
+
"epoch": 2.07,
|
1867 |
+
"grad_norm": 0.8563275337219238,
|
1868 |
+
"learning_rate": 8.082767752055129e-05,
|
1869 |
+
"loss": 1.4395,
|
1870 |
+
"step": 1295
|
1871 |
+
},
|
1872 |
+
{
|
1873 |
+
"epoch": 2.07,
|
1874 |
+
"grad_norm": 0.7887305617332458,
|
1875 |
+
"learning_rate": 7.958477589668092e-05,
|
1876 |
+
"loss": 1.4446,
|
1877 |
+
"step": 1300
|
1878 |
+
},
|
1879 |
+
{
|
1880 |
+
"epoch": 2.08,
|
1881 |
+
"grad_norm": 0.852190375328064,
|
1882 |
+
"learning_rate": 7.834804475688008e-05,
|
1883 |
+
"loss": 1.3596,
|
1884 |
+
"step": 1305
|
1885 |
+
},
|
1886 |
+
{
|
1887 |
+
"epoch": 2.09,
|
1888 |
+
"grad_norm": 0.7616653442382812,
|
1889 |
+
"learning_rate": 7.711759247586301e-05,
|
1890 |
+
"loss": 1.452,
|
1891 |
+
"step": 1310
|
1892 |
+
},
|
1893 |
+
{
|
1894 |
+
"epoch": 2.1,
|
1895 |
+
"grad_norm": 0.6950060725212097,
|
1896 |
+
"learning_rate": 7.589352687812797e-05,
|
1897 |
+
"loss": 1.3658,
|
1898 |
+
"step": 1315
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 2.11,
|
1902 |
+
"grad_norm": 1.0462900400161743,
|
1903 |
+
"learning_rate": 7.467595522850805e-05,
|
1904 |
+
"loss": 1.4803,
|
1905 |
+
"step": 1320
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 2.11,
|
1909 |
+
"grad_norm": 0.9355428218841553,
|
1910 |
+
"learning_rate": 7.346498422277214e-05,
|
1911 |
+
"loss": 1.5474,
|
1912 |
+
"step": 1325
|
1913 |
+
},
|
1914 |
+
{
|
1915 |
+
"epoch": 2.12,
|
1916 |
+
"grad_norm": 0.8697147369384766,
|
1917 |
+
"learning_rate": 7.22607199782747e-05,
|
1918 |
+
"loss": 1.4883,
|
1919 |
+
"step": 1330
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 2.13,
|
1923 |
+
"grad_norm": 0.9624801874160767,
|
1924 |
+
"learning_rate": 7.106326802465692e-05,
|
1925 |
+
"loss": 1.3623,
|
1926 |
+
"step": 1335
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 2.14,
|
1930 |
+
"grad_norm": 0.884113073348999,
|
1931 |
+
"learning_rate": 6.987273329459915e-05,
|
1932 |
+
"loss": 1.4287,
|
1933 |
+
"step": 1340
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"epoch": 2.15,
|
1937 |
+
"grad_norm": 0.8870747685432434,
|
1938 |
+
"learning_rate": 6.868922011462574e-05,
|
1939 |
+
"loss": 1.4426,
|
1940 |
+
"step": 1345
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 2.15,
|
1944 |
+
"grad_norm": 0.9415817260742188,
|
1945 |
+
"learning_rate": 6.751283219596263e-05,
|
1946 |
+
"loss": 1.4421,
|
1947 |
+
"step": 1350
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 2.16,
|
1951 |
+
"grad_norm": 0.8890645503997803,
|
1952 |
+
"learning_rate": 6.634367262544956e-05,
|
1953 |
+
"loss": 1.4436,
|
1954 |
+
"step": 1355
|
1955 |
+
},
|
1956 |
+
{
|
1957 |
+
"epoch": 2.17,
|
1958 |
+
"grad_norm": 0.8797799944877625,
|
1959 |
+
"learning_rate": 6.518184385650595e-05,
|
1960 |
+
"loss": 1.3414,
|
1961 |
+
"step": 1360
|
1962 |
+
},
|
1963 |
+
{
|
1964 |
+
"epoch": 2.18,
|
1965 |
+
"grad_norm": 0.8096060156822205,
|
1966 |
+
"learning_rate": 6.402744770015371e-05,
|
1967 |
+
"loss": 1.3585,
|
1968 |
+
"step": 1365
|
1969 |
+
},
|
1970 |
+
{
|
1971 |
+
"epoch": 2.19,
|
1972 |
+
"grad_norm": 0.9265967607498169,
|
1973 |
+
"learning_rate": 6.28805853160948e-05,
|
1974 |
+
"loss": 1.4575,
|
1975 |
+
"step": 1370
|
1976 |
+
},
|
1977 |
+
{
|
1978 |
+
"epoch": 2.19,
|
1979 |
+
"grad_norm": 0.7921759486198425,
|
1980 |
+
"learning_rate": 6.174135720384715e-05,
|
1981 |
+
"loss": 1.5079,
|
1982 |
+
"step": 1375
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 2.2,
|
1986 |
+
"grad_norm": 0.9000433087348938,
|
1987 |
+
"learning_rate": 6.0609863193937554e-05,
|
1988 |
+
"loss": 1.4363,
|
1989 |
+
"step": 1380
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 2.21,
|
1993 |
+
"grad_norm": 0.9442440271377563,
|
1994 |
+
"learning_rate": 5.9486202439153636e-05,
|
1995 |
+
"loss": 1.3952,
|
1996 |
+
"step": 1385
|
1997 |
+
},
|
1998 |
+
{
|
1999 |
+
"epoch": 2.22,
|
2000 |
+
"grad_norm": 0.9569089412689209,
|
2001 |
+
"learning_rate": 5.837047340585508e-05,
|
2002 |
+
"loss": 1.3183,
|
2003 |
+
"step": 1390
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 2.23,
|
2007 |
+
"grad_norm": 0.7584913969039917,
|
2008 |
+
"learning_rate": 5.72627738653452e-05,
|
2009 |
+
"loss": 1.3542,
|
2010 |
+
"step": 1395
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 2.23,
|
2014 |
+
"grad_norm": 0.9052013754844666,
|
2015 |
+
"learning_rate": 5.616320088530287e-05,
|
2016 |
+
"loss": 1.4462,
|
2017 |
+
"step": 1400
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 2.23,
|
2021 |
+
"eval_loss": 1.6514110565185547,
|
2022 |
+
"eval_runtime": 53.4421,
|
2023 |
+
"eval_samples_per_second": 9.057,
|
2024 |
+
"eval_steps_per_second": 2.264,
|
2025 |
+
"step": 1400
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 2.24,
|
2029 |
+
"grad_norm": 0.9608349800109863,
|
2030 |
+
"learning_rate": 5.50718508212769e-05,
|
2031 |
+
"loss": 1.4392,
|
2032 |
+
"step": 1405
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 2.25,
|
2036 |
+
"grad_norm": 1.0080007314682007,
|
2037 |
+
"learning_rate": 5.398881930824208e-05,
|
2038 |
+
"loss": 1.4975,
|
2039 |
+
"step": 1410
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 2.26,
|
2043 |
+
"grad_norm": 0.9581565260887146,
|
2044 |
+
"learning_rate": 5.2914201252218776e-05,
|
2045 |
+
"loss": 1.3116,
|
2046 |
+
"step": 1415
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 2.27,
|
2050 |
+
"grad_norm": 0.9258535504341125,
|
2051 |
+
"learning_rate": 5.184809082195656e-05,
|
2052 |
+
"loss": 1.5025,
|
2053 |
+
"step": 1420
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 2.27,
|
2057 |
+
"grad_norm": 0.815497100353241,
|
2058 |
+
"learning_rate": 5.079058144068175e-05,
|
2059 |
+
"loss": 1.4159,
|
2060 |
+
"step": 1425
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 2.28,
|
2064 |
+
"grad_norm": 0.867760181427002,
|
2065 |
+
"learning_rate": 4.974176577791123e-05,
|
2066 |
+
"loss": 1.4266,
|
2067 |
+
"step": 1430
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 2.29,
|
2071 |
+
"grad_norm": 0.8949117660522461,
|
2072 |
+
"learning_rate": 4.870173574133139e-05,
|
2073 |
+
"loss": 1.4693,
|
2074 |
+
"step": 1435
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 2.3,
|
2078 |
+
"grad_norm": 0.9198044538497925,
|
2079 |
+
"learning_rate": 4.767058246874453e-05,
|
2080 |
+
"loss": 1.4362,
|
2081 |
+
"step": 1440
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 2.31,
|
2085 |
+
"grad_norm": 0.928459882736206,
|
2086 |
+
"learning_rate": 4.664839632008233e-05,
|
2087 |
+
"loss": 1.4778,
|
2088 |
+
"step": 1445
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 2.31,
|
2092 |
+
"grad_norm": 0.789795458316803,
|
2093 |
+
"learning_rate": 4.563526686948776e-05,
|
2094 |
+
"loss": 1.3265,
|
2095 |
+
"step": 1450
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 2.32,
|
2099 |
+
"grad_norm": 0.9109902381896973,
|
2100 |
+
"learning_rate": 4.4631282897465504e-05,
|
2101 |
+
"loss": 1.4303,
|
2102 |
+
"step": 1455
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 2.33,
|
2106 |
+
"grad_norm": 0.9469901919364929,
|
2107 |
+
"learning_rate": 4.363653238310223e-05,
|
2108 |
+
"loss": 1.3995,
|
2109 |
+
"step": 1460
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 2.34,
|
2113 |
+
"grad_norm": 0.8550880551338196,
|
2114 |
+
"learning_rate": 4.2651102496356985e-05,
|
2115 |
+
"loss": 1.3542,
|
2116 |
+
"step": 1465
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 2.35,
|
2120 |
+
"grad_norm": 0.8234253525733948,
|
2121 |
+
"learning_rate": 4.1675079590422553e-05,
|
2122 |
+
"loss": 1.3771,
|
2123 |
+
"step": 1470
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 2.35,
|
2127 |
+
"grad_norm": 0.9473711848258972,
|
2128 |
+
"learning_rate": 4.070854919415811e-05,
|
2129 |
+
"loss": 1.3968,
|
2130 |
+
"step": 1475
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 2.36,
|
2134 |
+
"grad_norm": 1.0804728269577026,
|
2135 |
+
"learning_rate": 3.9751596004594696e-05,
|
2136 |
+
"loss": 1.4282,
|
2137 |
+
"step": 1480
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 2.37,
|
2141 |
+
"grad_norm": 0.9122664332389832,
|
2142 |
+
"learning_rate": 3.88043038795128e-05,
|
2143 |
+
"loss": 1.4415,
|
2144 |
+
"step": 1485
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 2.38,
|
2148 |
+
"grad_norm": 0.851219892501831,
|
2149 |
+
"learning_rate": 3.786675583009419e-05,
|
2150 |
+
"loss": 1.3758,
|
2151 |
+
"step": 1490
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 2.39,
|
2155 |
+
"grad_norm": 0.8568178415298462,
|
2156 |
+
"learning_rate": 3.6939034013647516e-05,
|
2157 |
+
"loss": 1.3924,
|
2158 |
+
"step": 1495
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 2.39,
|
2162 |
+
"grad_norm": 0.8509604334831238,
|
2163 |
+
"learning_rate": 3.6021219726409064e-05,
|
2164 |
+
"loss": 1.3347,
|
2165 |
+
"step": 1500
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 2.4,
|
2169 |
+
"grad_norm": 0.9844736456871033,
|
2170 |
+
"learning_rate": 3.51133933964184e-05,
|
2171 |
+
"loss": 1.3425,
|
2172 |
+
"step": 1505
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 2.41,
|
2176 |
+
"grad_norm": 0.8552778959274292,
|
2177 |
+
"learning_rate": 3.421563457647091e-05,
|
2178 |
+
"loss": 1.4085,
|
2179 |
+
"step": 1510
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 2.42,
|
2183 |
+
"grad_norm": 0.8389209508895874,
|
2184 |
+
"learning_rate": 3.3328021937146175e-05,
|
2185 |
+
"loss": 1.4795,
|
2186 |
+
"step": 1515
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 2.43,
|
2190 |
+
"grad_norm": 0.7627727389335632,
|
2191 |
+
"learning_rate": 3.2450633259914324e-05,
|
2192 |
+
"loss": 1.3852,
|
2193 |
+
"step": 1520
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 2.43,
|
2197 |
+
"grad_norm": 0.7493878602981567,
|
2198 |
+
"learning_rate": 3.158354543032004e-05,
|
2199 |
+
"loss": 1.4683,
|
2200 |
+
"step": 1525
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 2.44,
|
2204 |
+
"grad_norm": 0.8921322226524353,
|
2205 |
+
"learning_rate": 3.0726834431244916e-05,
|
2206 |
+
"loss": 1.3623,
|
2207 |
+
"step": 1530
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 2.45,
|
2211 |
+
"grad_norm": 0.934528648853302,
|
2212 |
+
"learning_rate": 2.9880575336249347e-05,
|
2213 |
+
"loss": 1.4292,
|
2214 |
+
"step": 1535
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 2.46,
|
2218 |
+
"grad_norm": 0.9410387873649597,
|
2219 |
+
"learning_rate": 2.904484230299341e-05,
|
2220 |
+
"loss": 1.3741,
|
2221 |
+
"step": 1540
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 2.47,
|
2225 |
+
"grad_norm": 0.8113580942153931,
|
2226 |
+
"learning_rate": 2.821970856673898e-05,
|
2227 |
+
"loss": 1.3496,
|
2228 |
+
"step": 1545
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 2.47,
|
2232 |
+
"grad_norm": 0.822819709777832,
|
2233 |
+
"learning_rate": 2.7405246433931603e-05,
|
2234 |
+
"loss": 1.387,
|
2235 |
+
"step": 1550
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 2.48,
|
2239 |
+
"grad_norm": 0.7705480456352234,
|
2240 |
+
"learning_rate": 2.6601527275864743e-05,
|
2241 |
+
"loss": 1.4588,
|
2242 |
+
"step": 1555
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 2.49,
|
2246 |
+
"grad_norm": 0.8231070637702942,
|
2247 |
+
"learning_rate": 2.5808621522425134e-05,
|
2248 |
+
"loss": 1.5636,
|
2249 |
+
"step": 1560
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 2.5,
|
2253 |
+
"grad_norm": 0.8312299251556396,
|
2254 |
+
"learning_rate": 2.5026598655921182e-05,
|
2255 |
+
"loss": 1.4001,
|
2256 |
+
"step": 1565
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 2.5,
|
2260 |
+
"grad_norm": 0.7779568433761597,
|
2261 |
+
"learning_rate": 2.4255527204994268e-05,
|
2262 |
+
"loss": 1.4055,
|
2263 |
+
"step": 1570
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 2.51,
|
2267 |
+
"grad_norm": 0.9976507425308228,
|
2268 |
+
"learning_rate": 2.3495474738613595e-05,
|
2269 |
+
"loss": 1.4549,
|
2270 |
+
"step": 1575
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 2.52,
|
2274 |
+
"grad_norm": 0.9732272624969482,
|
2275 |
+
"learning_rate": 2.274650786015491e-05,
|
2276 |
+
"loss": 1.3406,
|
2277 |
+
"step": 1580
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 2.53,
|
2281 |
+
"grad_norm": 0.8873571753501892,
|
2282 |
+
"learning_rate": 2.200869220156439e-05,
|
2283 |
+
"loss": 1.3103,
|
2284 |
+
"step": 1585
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 2.54,
|
2288 |
+
"grad_norm": 0.940963625907898,
|
2289 |
+
"learning_rate": 2.1282092417606998e-05,
|
2290 |
+
"loss": 1.3055,
|
2291 |
+
"step": 1590
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 2.54,
|
2295 |
+
"grad_norm": 0.9407901167869568,
|
2296 |
+
"learning_rate": 2.0566772180201002e-05,
|
2297 |
+
"loss": 1.3727,
|
2298 |
+
"step": 1595
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 2.55,
|
2302 |
+
"grad_norm": 0.7993718981742859,
|
2303 |
+
"learning_rate": 1.986279417283823e-05,
|
2304 |
+
"loss": 1.3236,
|
2305 |
+
"step": 1600
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 2.55,
|
2309 |
+
"eval_loss": 1.6478137969970703,
|
2310 |
+
"eval_runtime": 53.9373,
|
2311 |
+
"eval_samples_per_second": 8.973,
|
2312 |
+
"eval_steps_per_second": 2.243,
|
2313 |
+
"step": 1600
|
2314 |
+
},
|
2315 |
+
{
|
2316 |
+
"epoch": 2.56,
|
2317 |
+
"grad_norm": 0.9243110418319702,
|
2318 |
+
"learning_rate": 1.9170220085091354e-05,
|
2319 |
+
"loss": 1.3978,
|
2320 |
+
"step": 1605
|
2321 |
+
},
|
2322 |
+
{
|
2323 |
+
"epoch": 2.57,
|
2324 |
+
"grad_norm": 0.9336215257644653,
|
2325 |
+
"learning_rate": 1.8489110607207796e-05,
|
2326 |
+
"loss": 1.3513,
|
2327 |
+
"step": 1610
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 2.58,
|
2331 |
+
"grad_norm": 0.9775585532188416,
|
2332 |
+
"learning_rate": 1.7819525424791637e-05,
|
2333 |
+
"loss": 1.3751,
|
2334 |
+
"step": 1615
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 2.58,
|
2338 |
+
"grad_norm": 0.8599871397018433,
|
2339 |
+
"learning_rate": 1.7161523213573115e-05,
|
2340 |
+
"loss": 1.4563,
|
2341 |
+
"step": 1620
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 2.59,
|
2345 |
+
"grad_norm": 0.8650587797164917,
|
2346 |
+
"learning_rate": 1.6515161634267216e-05,
|
2347 |
+
"loss": 1.3313,
|
2348 |
+
"step": 1625
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 2.6,
|
2352 |
+
"grad_norm": 0.8923302888870239,
|
2353 |
+
"learning_rate": 1.5880497327520546e-05,
|
2354 |
+
"loss": 1.4745,
|
2355 |
+
"step": 1630
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 2.61,
|
2359 |
+
"grad_norm": 0.9115777611732483,
|
2360 |
+
"learning_rate": 1.5257585908948172e-05,
|
2361 |
+
"loss": 1.5308,
|
2362 |
+
"step": 1635
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 2.62,
|
2366 |
+
"grad_norm": 0.8948424458503723,
|
2367 |
+
"learning_rate": 1.464648196425981e-05,
|
2368 |
+
"loss": 1.4087,
|
2369 |
+
"step": 1640
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 2.62,
|
2373 |
+
"grad_norm": 0.9226679801940918,
|
2374 |
+
"learning_rate": 1.4047239044476594e-05,
|
2375 |
+
"loss": 1.3918,
|
2376 |
+
"step": 1645
|
2377 |
+
},
|
2378 |
+
{
|
2379 |
+
"epoch": 2.63,
|
2380 |
+
"grad_norm": 0.8747596144676208,
|
2381 |
+
"learning_rate": 1.345990966123846e-05,
|
2382 |
+
"loss": 1.3892,
|
2383 |
+
"step": 1650
|
2384 |
+
},
|
2385 |
+
{
|
2386 |
+
"epoch": 2.64,
|
2387 |
+
"grad_norm": 0.8658227324485779,
|
2388 |
+
"learning_rate": 1.288454528220238e-05,
|
2389 |
+
"loss": 1.4378,
|
2390 |
+
"step": 1655
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 2.65,
|
2394 |
+
"grad_norm": 0.8440380096435547,
|
2395 |
+
"learning_rate": 1.2321196326532428e-05,
|
2396 |
+
"loss": 1.3919,
|
2397 |
+
"step": 1660
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 2.66,
|
2401 |
+
"grad_norm": 0.8718552589416504,
|
2402 |
+
"learning_rate": 1.176991216048141e-05,
|
2403 |
+
"loss": 1.3446,
|
2404 |
+
"step": 1665
|
2405 |
+
},
|
2406 |
+
{
|
2407 |
+
"epoch": 2.66,
|
2408 |
+
"grad_norm": 1.080561876296997,
|
2409 |
+
"learning_rate": 1.123074109306501e-05,
|
2410 |
+
"loss": 1.5042,
|
2411 |
+
"step": 1670
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 2.67,
|
2415 |
+
"grad_norm": 0.9557725191116333,
|
2416 |
+
"learning_rate": 1.070373037182839e-05,
|
2417 |
+
"loss": 1.4899,
|
2418 |
+
"step": 1675
|
2419 |
+
},
|
2420 |
+
{
|
2421 |
+
"epoch": 2.68,
|
2422 |
+
"grad_norm": 0.8951625823974609,
|
2423 |
+
"learning_rate": 1.0188926178705976e-05,
|
2424 |
+
"loss": 1.3954,
|
2425 |
+
"step": 1680
|
2426 |
+
},
|
2427 |
+
{
|
2428 |
+
"epoch": 2.69,
|
2429 |
+
"grad_norm": 0.8350385427474976,
|
2430 |
+
"learning_rate": 9.686373625974398e-06,
|
2431 |
+
"loss": 1.3416,
|
2432 |
+
"step": 1685
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 2.7,
|
2436 |
+
"grad_norm": 0.7895828485488892,
|
2437 |
+
"learning_rate": 9.196116752299504e-06,
|
2438 |
+
"loss": 1.4138,
|
2439 |
+
"step": 1690
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 2.7,
|
2443 |
+
"grad_norm": 0.8298912644386292,
|
2444 |
+
"learning_rate": 8.718198518877063e-06,
|
2445 |
+
"loss": 1.4092,
|
2446 |
+
"step": 1695
|
2447 |
+
},
|
2448 |
+
{
|
2449 |
+
"epoch": 2.71,
|
2450 |
+
"grad_norm": 0.7747901082038879,
|
2451 |
+
"learning_rate": 8.252660805668172e-06,
|
2452 |
+
"loss": 1.4483,
|
2453 |
+
"step": 1700
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 2.72,
|
2457 |
+
"grad_norm": 0.9418133497238159,
|
2458 |
+
"learning_rate": 7.799544407729247e-06,
|
2459 |
+
"loss": 1.2875,
|
2460 |
+
"step": 1705
|
2461 |
+
},
|
2462 |
+
{
|
2463 |
+
"epoch": 2.73,
|
2464 |
+
"grad_norm": 0.8848152756690979,
|
2465 |
+
"learning_rate": 7.3588890316373e-06,
|
2466 |
+
"loss": 1.3768,
|
2467 |
+
"step": 1710
|
2468 |
+
},
|
2469 |
+
{
|
2470 |
+
"epoch": 2.74,
|
2471 |
+
"grad_norm": 0.8357783555984497,
|
2472 |
+
"learning_rate": 6.930733292010299e-06,
|
2473 |
+
"loss": 1.2686,
|
2474 |
+
"step": 1715
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 2.74,
|
2478 |
+
"grad_norm": 0.8660513758659363,
|
2479 |
+
"learning_rate": 6.5151147081234314e-06,
|
2480 |
+
"loss": 1.5152,
|
2481 |
+
"step": 1720
|
2482 |
+
},
|
2483 |
+
{
|
2484 |
+
"epoch": 2.75,
|
2485 |
+
"grad_norm": 0.9291744232177734,
|
2486 |
+
"learning_rate": 6.112069700621247e-06,
|
2487 |
+
"loss": 1.3963,
|
2488 |
+
"step": 1725
|
2489 |
+
},
|
2490 |
+
{
|
2491 |
+
"epoch": 2.76,
|
2492 |
+
"grad_norm": 0.9582973718643188,
|
2493 |
+
"learning_rate": 5.721633588326263e-06,
|
2494 |
+
"loss": 1.3672,
|
2495 |
+
"step": 1730
|
2496 |
+
},
|
2497 |
+
{
|
2498 |
+
"epoch": 2.77,
|
2499 |
+
"grad_norm": 0.8532952070236206,
|
2500 |
+
"learning_rate": 5.343840585143755e-06,
|
2501 |
+
"loss": 1.4313,
|
2502 |
+
"step": 1735
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 2.78,
|
2506 |
+
"grad_norm": 0.8306805491447449,
|
2507 |
+
"learning_rate": 4.9787237970638046e-06,
|
2508 |
+
"loss": 1.348,
|
2509 |
+
"step": 1740
|
2510 |
+
},
|
2511 |
+
{
|
2512 |
+
"epoch": 2.78,
|
2513 |
+
"grad_norm": 0.9041390419006348,
|
2514 |
+
"learning_rate": 4.626315219260074e-06,
|
2515 |
+
"loss": 1.323,
|
2516 |
+
"step": 1745
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 2.79,
|
2520 |
+
"grad_norm": 0.9139644503593445,
|
2521 |
+
"learning_rate": 4.2866457332861095e-06,
|
2522 |
+
"loss": 1.4489,
|
2523 |
+
"step": 1750
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 2.8,
|
2527 |
+
"grad_norm": 0.7889164090156555,
|
2528 |
+
"learning_rate": 3.959745104369227e-06,
|
2529 |
+
"loss": 1.2446,
|
2530 |
+
"step": 1755
|
2531 |
+
},
|
2532 |
+
{
|
2533 |
+
"epoch": 2.81,
|
2534 |
+
"grad_norm": 0.8802595734596252,
|
2535 |
+
"learning_rate": 3.645641978802183e-06,
|
2536 |
+
"loss": 1.3255,
|
2537 |
+
"step": 1760
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 2.82,
|
2541 |
+
"grad_norm": 0.8217524290084839,
|
2542 |
+
"learning_rate": 3.3443638814328765e-06,
|
2543 |
+
"loss": 1.3215,
|
2544 |
+
"step": 1765
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 2.82,
|
2548 |
+
"grad_norm": 1.0614471435546875,
|
2549 |
+
"learning_rate": 3.0559372132523354e-06,
|
2550 |
+
"loss": 1.5207,
|
2551 |
+
"step": 1770
|
2552 |
+
},
|
2553 |
+
{
|
2554 |
+
"epoch": 2.83,
|
2555 |
+
"grad_norm": 0.8429582715034485,
|
2556 |
+
"learning_rate": 2.7803872490812287e-06,
|
2557 |
+
"loss": 1.3383,
|
2558 |
+
"step": 1775
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 2.84,
|
2562 |
+
"grad_norm": 0.8786703944206238,
|
2563 |
+
"learning_rate": 2.5177381353549907e-06,
|
2564 |
+
"loss": 1.3797,
|
2565 |
+
"step": 1780
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 2.85,
|
2569 |
+
"grad_norm": 0.9570217132568359,
|
2570 |
+
"learning_rate": 2.268012888007947e-06,
|
2571 |
+
"loss": 1.3989,
|
2572 |
+
"step": 1785
|
2573 |
+
},
|
2574 |
+
{
|
2575 |
+
"epoch": 2.86,
|
2576 |
+
"grad_norm": 0.8841099739074707,
|
2577 |
+
"learning_rate": 2.0312333904563605e-06,
|
2578 |
+
"loss": 1.3689,
|
2579 |
+
"step": 1790
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 2.86,
|
2583 |
+
"grad_norm": 0.9913931488990784,
|
2584 |
+
"learning_rate": 1.8074203916808472e-06,
|
2585 |
+
"loss": 1.4612,
|
2586 |
+
"step": 1795
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 2.87,
|
2590 |
+
"grad_norm": 0.84140545129776,
|
2591 |
+
"learning_rate": 1.5965935044080003e-06,
|
2592 |
+
"loss": 1.4728,
|
2593 |
+
"step": 1800
|
2594 |
+
},
|
2595 |
+
{
|
2596 |
+
"epoch": 2.87,
|
2597 |
+
"eval_loss": 1.645330786705017,
|
2598 |
+
"eval_runtime": 53.8569,
|
2599 |
+
"eval_samples_per_second": 8.987,
|
2600 |
+
"eval_steps_per_second": 2.247,
|
2601 |
+
"step": 1800
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"epoch": 2.88,
|
2605 |
+
"grad_norm": 1.0088138580322266,
|
2606 |
+
"learning_rate": 1.3987712033919796e-06,
|
2607 |
+
"loss": 1.4539,
|
2608 |
+
"step": 1805
|
2609 |
+
},
|
2610 |
+
{
|
2611 |
+
"epoch": 2.89,
|
2612 |
+
"grad_norm": 0.853320837020874,
|
2613 |
+
"learning_rate": 1.2139708237953073e-06,
|
2614 |
+
"loss": 1.3314,
|
2615 |
+
"step": 1810
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 2.9,
|
2619 |
+
"grad_norm": 0.9394313097000122,
|
2620 |
+
"learning_rate": 1.0422085596699658e-06,
|
2621 |
+
"loss": 1.4403,
|
2622 |
+
"step": 1815
|
2623 |
+
},
|
2624 |
+
{
|
2625 |
+
"epoch": 2.9,
|
2626 |
+
"grad_norm": 0.8725711107254028,
|
2627 |
+
"learning_rate": 8.834994625382341e-07,
|
2628 |
+
"loss": 1.4662,
|
2629 |
+
"step": 1820
|
2630 |
+
},
|
2631 |
+
{
|
2632 |
+
"epoch": 2.91,
|
2633 |
+
"grad_norm": 0.9195972084999084,
|
2634 |
+
"learning_rate": 7.378574400737414e-07,
|
2635 |
+
"loss": 1.3785,
|
2636 |
+
"step": 1825
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 2.92,
|
2640 |
+
"grad_norm": 0.9402215480804443,
|
2641 |
+
"learning_rate": 6.052952548827428e-07,
|
2642 |
+
"loss": 1.4565,
|
2643 |
+
"step": 1830
|
2644 |
+
},
|
2645 |
+
{
|
2646 |
+
"epoch": 2.93,
|
2647 |
+
"grad_norm": 0.8402209281921387,
|
2648 |
+
"learning_rate": 4.858245233857305e-07,
|
2649 |
+
"loss": 1.371,
|
2650 |
+
"step": 1835
|
2651 |
+
},
|
2652 |
+
{
|
2653 |
+
"epoch": 2.94,
|
2654 |
+
"grad_norm": 0.7974345088005066,
|
2655 |
+
"learning_rate": 3.7945571479948147e-07,
|
2656 |
+
"loss": 1.3159,
|
2657 |
+
"step": 1840
|
2658 |
+
},
|
2659 |
+
{
|
2660 |
+
"epoch": 2.94,
|
2661 |
+
"grad_norm": 0.8706817626953125,
|
2662 |
+
"learning_rate": 2.8619815021964085e-07,
|
2663 |
+
"loss": 1.521,
|
2664 |
+
"step": 1845
|
2665 |
+
},
|
2666 |
+
{
|
2667 |
+
"epoch": 2.95,
|
2668 |
+
"grad_norm": 0.9706933498382568,
|
2669 |
+
"learning_rate": 2.0606000180390935e-07,
|
2670 |
+
"loss": 1.3561,
|
2671 |
+
"step": 1850
|
2672 |
+
},
|
2673 |
+
{
|
2674 |
+
"epoch": 2.96,
|
2675 |
+
"grad_norm": 0.9271072149276733,
|
2676 |
+
"learning_rate": 1.3904829205594882e-07,
|
2677 |
+
"loss": 1.4329,
|
2678 |
+
"step": 1855
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 2.97,
|
2682 |
+
"grad_norm": 0.8780162930488586,
|
2683 |
+
"learning_rate": 8.516889320995813e-08,
|
2684 |
+
"loss": 1.3876,
|
2685 |
+
"step": 1860
|
2686 |
+
},
|
2687 |
+
{
|
2688 |
+
"epoch": 2.98,
|
2689 |
+
"grad_norm": 0.8870643377304077,
|
2690 |
+
"learning_rate": 4.442652671611813e-08,
|
2691 |
+
"loss": 1.4097,
|
2692 |
+
"step": 1865
|
2693 |
+
},
|
2694 |
+
{
|
2695 |
+
"epoch": 2.98,
|
2696 |
+
"grad_norm": 0.9191935062408447,
|
2697 |
+
"learning_rate": 1.6824762826822546e-08,
|
2698 |
+
"loss": 1.5358,
|
2699 |
+
"step": 1870
|
2700 |
+
},
|
2701 |
+
{
|
2702 |
+
"epoch": 2.99,
|
2703 |
+
"grad_norm": 0.856283962726593,
|
2704 |
+
"learning_rate": 2.3660202838615695e-09,
|
2705 |
+
"loss": 1.407,
|
2706 |
+
"step": 1875
|
2707 |
+
},
|
2708 |
+
{
|
2709 |
+
"epoch": 3.0,
|
2710 |
+
"step": 1878,
|
2711 |
+
"total_flos": 2.5822124463489024e+17,
|
2712 |
+
"train_loss": 1.5555958059776072,
|
2713 |
+
"train_runtime": 10085.6682,
|
2714 |
+
"train_samples_per_second": 2.982,
|
2715 |
+
"train_steps_per_second": 0.186
|
2716 |
+
}
|
2717 |
+
],
|
2718 |
+
"logging_steps": 5,
|
2719 |
+
"max_steps": 1878,
|
2720 |
+
"num_input_tokens_seen": 0,
|
2721 |
+
"num_train_epochs": 3,
|
2722 |
+
"save_steps": 400,
|
2723 |
+
"total_flos": 2.5822124463489024e+17,
|
2724 |
+
"train_batch_size": 4,
|
2725 |
+
"trial_name": null,
|
2726 |
+
"trial_params": null
|
2727 |
+
}
|
lora_8bit_adapter_raw/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:51aec8d076aef3caca86c6c9565fcad6f6ef188a64bee4f6062684d898d4ed76
|
3 |
+
size 5048
|
lora_8bit_adapter_raw/training_eval_loss.png
ADDED
![]() |
lora_8bit_adapter_raw/training_loss.png
ADDED
![]() |