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pythia_160m_sft

Text Generation
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gpt_neox
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Initial model upload

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  1. README (1).md +91 -0
  2. README.md +91 -0
  3. config (1).json +32 -0
  4. config.json +32 -0
  5. generation_config (1).json +6 -0
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  21. training_args.bin +3 -0
README (1).md ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: EleutherAI/pythia-70m
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+ tags:
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: pythia_70m_sft
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+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # pythia_70m_sft
16
+
17
+ This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 2.4023
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 2e-05
39
+ - train_batch_size: 8
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
43
+ - lr_scheduler_type: linear
44
+ - num_epochs: 3
45
+ - mixed_precision_training: Native AMP
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:------:|:----:|:---------------:|
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+ | 2.8612 | 0.0889 | 100 | 2.7705 |
52
+ | 2.7799 | 0.1778 | 200 | 2.7116 |
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+ | 2.754 | 0.2667 | 300 | 2.6827 |
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+ | 2.7035 | 0.3556 | 400 | 2.6482 |
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+ | 2.6667 | 0.4444 | 500 | 2.6296 |
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+ | 2.6568 | 0.5333 | 600 | 2.6048 |
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+ | 2.6233 | 0.6222 | 700 | 2.5862 |
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+ | 2.5956 | 0.7111 | 800 | 2.5790 |
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+ | 2.5635 | 0.8 | 900 | 2.5436 |
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+ | 2.5469 | 0.8889 | 1000 | 2.5445 |
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+ | 2.499 | 0.9778 | 1100 | 2.5155 |
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+ | 2.3677 | 1.0667 | 1200 | 2.5158 |
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+ | 2.326 | 1.1556 | 1300 | 2.5018 |
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+ | 2.3132 | 1.2444 | 1400 | 2.5023 |
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+ | 2.3401 | 1.3333 | 1500 | 2.5026 |
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+ | 2.3027 | 1.4222 | 1600 | 2.4953 |
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+ | 2.3223 | 1.5111 | 1700 | 2.4804 |
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+ | 2.3186 | 1.6 | 1800 | 2.4776 |
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+ | 2.3187 | 1.6889 | 1900 | 2.4709 |
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+ | 2.3102 | 1.7778 | 2000 | 2.4618 |
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+ | 2.3129 | 1.8667 | 2100 | 2.4526 |
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+ | 2.287 | 1.9556 | 2200 | 2.4456 |
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+ | 2.1946 | 2.0444 | 2300 | 2.4423 |
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+ | 2.1757 | 2.1333 | 2400 | 2.4408 |
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+ | 2.1308 | 2.2222 | 2500 | 2.4383 |
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+ | 2.1475 | 2.3111 | 2600 | 2.4283 |
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+ | 2.155 | 2.4 | 2700 | 2.4231 |
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+ | 2.1197 | 2.4889 | 2800 | 2.4222 |
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+ | 2.1225 | 2.5778 | 2900 | 2.4173 |
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+ | 2.1196 | 2.6667 | 3000 | 2.4118 |
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+ | 2.146 | 2.7556 | 3100 | 2.4075 |
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+ | 2.1361 | 2.8444 | 3200 | 2.4046 |
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+ | 2.0965 | 2.9333 | 3300 | 2.4023 |
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+
85
+
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+ ### Framework versions
87
+
88
+ - Transformers 4.46.2
89
+ - Pytorch 2.5.1+cu121
90
+ - Datasets 3.1.0
91
+ - Tokenizers 0.20.3
README.md ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: EleutherAI/pythia-160m
5
+ tags:
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: pythia_160m_sft
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # pythia_160m_sft
16
+
17
+ This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 2.1033
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 2e-05
39
+ - train_batch_size: 8
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
43
+ - lr_scheduler_type: linear
44
+ - num_epochs: 3
45
+ - mixed_precision_training: Native AMP
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:------:|:----:|:---------------:|
51
+ | 2.3332 | 0.0889 | 100 | 2.2776 |
52
+ | 2.3071 | 0.1778 | 200 | 2.2564 |
53
+ | 2.2941 | 0.2667 | 300 | 2.2301 |
54
+ | 2.2548 | 0.3556 | 400 | 2.2094 |
55
+ | 2.2246 | 0.4444 | 500 | 2.1973 |
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+ | 2.2189 | 0.5333 | 600 | 2.1705 |
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+ | 2.181 | 0.6222 | 700 | 2.1498 |
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+ | 2.1515 | 0.7111 | 800 | 2.1399 |
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+ | 2.1333 | 0.8 | 900 | 2.1212 |
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+ | 2.1139 | 0.8889 | 1000 | 2.1050 |
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+ | 2.0778 | 0.9778 | 1100 | 2.0970 |
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+ | 1.8312 | 1.0667 | 1200 | 2.1071 |
63
+ | 1.7405 | 1.1556 | 1300 | 2.1022 |
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+ | 1.7284 | 1.2444 | 1400 | 2.1049 |
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+ | 1.7554 | 1.3333 | 1500 | 2.1023 |
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+ | 1.732 | 1.4222 | 1600 | 2.0934 |
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+ | 1.7474 | 1.5111 | 1700 | 2.0917 |
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+ | 1.7495 | 1.6 | 1800 | 2.0820 |
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+ | 1.7449 | 1.6889 | 1900 | 2.0770 |
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+ | 1.7474 | 1.7778 | 2000 | 2.0708 |
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+ | 1.7447 | 1.8667 | 2100 | 2.0643 |
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+ | 1.4345 | 2.8444 | 3200 | 2.1037 |
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+ | 1.4034 | 2.9333 | 3300 | 2.1033 |
84
+
85
+
86
+ ### Framework versions
87
+
88
+ - Transformers 4.46.2
89
+ - Pytorch 2.5.1+cu121
90
+ - Datasets 3.1.0
91
+ - Tokenizers 0.20.3
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