|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: Qwen/Qwen2.5-7B-Instruct |
|
|
tags: |
|
|
- axolotl |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- train_rationale_unseen_whole_re.jsonl |
|
|
model-index: |
|
|
- name: merged-bench-0417-1 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
|
<details><summary>See axolotl config</summary> |
|
|
|
|
|
axolotl version: `0.8.0` |
|
|
```yaml |
|
|
base_model: Qwen/Qwen2.5-7B-Instruct |
|
|
model_type: AutoModelForCausalLM |
|
|
tokenizer_type: AutoTokenizer |
|
|
trust_remote_code: false |
|
|
|
|
|
load_in_8bit: false |
|
|
load_in_4bit: false |
|
|
strict: false |
|
|
|
|
|
output_dir: ./outputs/out |
|
|
chat_template: qwen_25 |
|
|
datasets: |
|
|
- path: train_rationale_unseen_whole_re.jsonl |
|
|
type: chat_template |
|
|
field_messages: messages |
|
|
message_field_role: role |
|
|
message_field_content: content |
|
|
roles: |
|
|
system: |
|
|
- system |
|
|
user: |
|
|
- user |
|
|
assistant: |
|
|
- assistant |
|
|
|
|
|
dataset_prepared_path: last_run_prepared |
|
|
val_set_size: 0.005 |
|
|
output_dir: ./outputs/out |
|
|
eval_sample_packing: False |
|
|
|
|
|
sequence_len: 8192 |
|
|
sample_packing: False |
|
|
pad_to_sequence_len: False |
|
|
|
|
|
wandb_project: mergedbench |
|
|
wandb_entity: |
|
|
wandb_watch: |
|
|
wandb_name: |
|
|
wandb_log_model: |
|
|
hub_model_id: amphora/merged-bench-0417-1 |
|
|
|
|
|
plugins: |
|
|
- axolotl.integrations.liger.LigerPlugin |
|
|
liger_rope: true |
|
|
liger_rms_norm: true |
|
|
liger_swiglu: true |
|
|
liger_fused_linear_cross_entropy: true |
|
|
|
|
|
gradient_accumulation_steps: 4 |
|
|
micro_batch_size: 8 |
|
|
eval_batch_size: 4 |
|
|
num_epochs: 3 |
|
|
optimizer: paged_adamw_8bit |
|
|
lr_scheduler: cosine |
|
|
learning_rate: 2e-5 |
|
|
|
|
|
train_on_inputs: false |
|
|
group_by_length: false |
|
|
bf16: auto |
|
|
fp16: |
|
|
tf32: false |
|
|
|
|
|
gradient_checkpointing: true |
|
|
gradient_checkpointing_kwargs: |
|
|
use_reentrant: false |
|
|
early_stopping_patience: |
|
|
resume_from_checkpoint: |
|
|
logging_steps: 1 |
|
|
xformers_attention: |
|
|
flash_attention: true |
|
|
|
|
|
warmup_steps: 30 |
|
|
evals_per_epoch: 3 |
|
|
eval_max_new_tokens: 128 |
|
|
eval_table_size: |
|
|
saves_per_epoch: 1 |
|
|
debug: |
|
|
deepspeed: deepspeed_configs/zero3_bf16.json |
|
|
weight_decay: 0.01 |
|
|
fsdp: |
|
|
fsdp_config: |
|
|
special_tokens: |
|
|
``` |
|
|
|
|
|
</details><br> |
|
|
|
|
|
# merged-bench-0417-1 |
|
|
|
|
|
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the train_rationale_unseen_whole_re.jsonl dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.4004 |
|
|
|
|
|
## Model description |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Training and evaluation data |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Training procedure |
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 2e-05 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- num_devices: 4 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 128 |
|
|
- total_eval_batch_size: 16 |
|
|
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_steps: 30 |
|
|
- num_epochs: 3.0 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| 1.7481 | 0.0081 | 1 | 1.7361 | |
|
|
| 0.4091 | 0.3313 | 41 | 0.4241 | |
|
|
| 0.3857 | 0.6626 | 82 | 0.4033 | |
|
|
| 0.3516 | 0.9939 | 123 | 0.3825 | |
|
|
| 0.23 | 1.3313 | 164 | 0.3929 | |
|
|
| 0.2441 | 1.6626 | 205 | 0.3659 | |
|
|
| 0.2118 | 1.9939 | 246 | 0.3628 | |
|
|
| 0.1137 | 2.3313 | 287 | 0.4025 | |
|
|
| 0.1183 | 2.6626 | 328 | 0.4001 | |
|
|
| 0.1077 | 2.9939 | 369 | 0.4004 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.5.0 |
|
|
- Tokenizers 0.21.1 |
|
|
|
