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tsavage68
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UTI_M2_1000steps_1e6rate_SFT

Text Generation
Transformers
Safetensors
mistral
trl
sft
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
tsavage68 commited on
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End of training

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Files changed (17) hide show
  1. README.md +44 -44
  2. config.json +9 -12
  3. final_checkpoint/config.json +9 -12
  4. final_checkpoint/generation_config.json +3 -9
  5. final_checkpoint/model-00001-of-00003.safetensors +3 -0
  6. final_checkpoint/model-00002-of-00003.safetensors +3 -0
  7. final_checkpoint/model-00003-of-00003.safetensors +3 -0
  8. final_checkpoint/model.safetensors.index.json +292 -292
  9. generation_config.json +3 -9
  10. model-00001-of-00003.safetensors +3 -0
  11. model-00002-of-00003.safetensors +3 -0
  12. model-00003-of-00003.safetensors +3 -0
  13. model.safetensors.index.json +292 -292
  14. special_tokens_map.json +10 -3
  15. tokenizer.json +0 -0
  16. tokenizer_config.json +20 -2040
  17. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
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- license: llama3
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- base_model: meta-llama/Meta-Llama-3-8B-Instruct
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  tags:
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  - trl
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  - sft
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # UTI_L3_1000steps_1e6rate_SFT
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- This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0855
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  ## Model description
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@@ -51,46 +51,46 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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- | 2.7381 | 0.3333 | 25 | 2.7319 |
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- | 2.5633 | 0.6667 | 50 | 2.4802 |
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- | 2.332 | 1.0 | 75 | 2.1792 |
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- | 1.9781 | 1.3333 | 100 | 2.0001 |
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- | 1.8941 | 1.6667 | 125 | 1.9138 |
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- | 1.7878 | 2.0 | 150 | 1.8720 |
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- | 1.6526 | 2.3333 | 175 | 1.8603 |
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- | 1.6597 | 2.6667 | 200 | 1.8590 |
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- | 1.6725 | 3.0 | 225 | 1.8504 |
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- | 1.3845 | 3.3333 | 250 | 1.9010 |
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- | 1.3174 | 3.6667 | 275 | 1.8995 |
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- | 1.373 | 4.0 | 300 | 1.9059 |
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- | 1.0957 | 4.3333 | 325 | 2.0074 |
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- | 1.0648 | 4.6667 | 350 | 2.0045 |
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- | 1.1221 | 5.0 | 375 | 2.0208 |
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- | 0.7519 | 5.3333 | 400 | 2.2099 |
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- | 0.7821 | 5.6667 | 425 | 2.1698 |
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- | 0.7721 | 6.0 | 450 | 2.2790 |
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- | 0.5087 | 6.3333 | 475 | 2.4806 |
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- | 0.5025 | 6.6667 | 500 | 2.4117 |
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- | 0.5483 | 7.0 | 525 | 2.4447 |
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- | 0.3704 | 7.3333 | 550 | 2.6718 |
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- | 0.3372 | 7.6667 | 575 | 2.6125 |
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- | 0.3932 | 8.0 | 600 | 2.6069 |
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- | 0.2491 | 8.3333 | 625 | 2.8220 |
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- | 0.2495 | 8.6667 | 650 | 2.7979 |
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- | 0.31 | 9.0 | 675 | 2.8673 |
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- | 0.1982 | 9.3333 | 700 | 2.9714 |
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- | 0.2243 | 9.6667 | 725 | 2.9859 |
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- | 0.2327 | 10.0 | 750 | 2.9885 |
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- | 0.1803 | 10.3333 | 775 | 3.0467 |
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- | 0.1665 | 10.6667 | 800 | 3.0635 |
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- | 0.211 | 11.0 | 825 | 3.0693 |
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- | 0.1765 | 11.3333 | 850 | 3.0789 |
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- | 0.1729 | 11.6667 | 875 | 3.0811 |
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- | 0.1705 | 12.0 | 900 | 3.0870 |
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- | 0.1699 | 12.3333 | 925 | 3.0883 |
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- | 0.1517 | 12.6667 | 950 | 3.0868 |
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- | 0.1632 | 13.0 | 975 | 3.0853 |
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- | 0.166 | 13.3333 | 1000 | 3.0855 |
94
 
95
 
96
  ### Framework versions
 
1
  ---
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+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
4
  tags:
5
  - trl
6
  - sft
 
15
 
16
  # UTI_L3_1000steps_1e6rate_SFT
17
 
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 3.2252
21
 
22
  ## Model description
23
 
 
51
 
52
  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:-------:|:----:|:---------------:|
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+ | 2.2806 | 0.3333 | 25 | 2.1563 |
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+ | 1.8955 | 0.6667 | 50 | 1.8431 |
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+ | 1.7404 | 1.0 | 75 | 1.7251 |
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+ | 1.5351 | 1.3333 | 100 | 1.7245 |
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+ | 1.5176 | 1.6667 | 125 | 1.7039 |
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+ | 1.4594 | 2.0 | 150 | 1.6754 |
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+ | 0.9453 | 2.3333 | 175 | 1.8231 |
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+ | 1.0165 | 2.6667 | 200 | 1.8012 |
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+ | 0.9754 | 3.0 | 225 | 1.7995 |
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+ | 0.4991 | 3.3333 | 250 | 2.1098 |
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+ | 0.4971 | 3.6667 | 275 | 2.1236 |
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+ | 0.5339 | 4.0 | 300 | 2.1092 |
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+ | 0.2532 | 4.3333 | 325 | 2.2857 |
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+ | 0.2919 | 4.6667 | 350 | 2.3444 |
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+ | 0.3192 | 5.0 | 375 | 2.3734 |
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+ | 0.1858 | 5.3333 | 400 | 2.5514 |
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+ | 0.1947 | 5.6667 | 425 | 2.5828 |
71
+ | 0.1984 | 6.0 | 450 | 2.5324 |
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+ | 0.1429 | 6.3333 | 475 | 2.7141 |
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+ | 0.1573 | 6.6667 | 500 | 2.6237 |
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+ | 0.1502 | 7.0 | 525 | 2.6715 |
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+ | 0.1168 | 7.3333 | 550 | 2.8434 |
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+ | 0.1306 | 7.6667 | 575 | 2.7996 |
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+ | 0.1182 | 8.0 | 600 | 2.8128 |
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+ | 0.1009 | 8.3333 | 625 | 2.9270 |
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+ | 0.1053 | 8.6667 | 650 | 2.9832 |
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+ | 0.0983 | 9.0 | 675 | 2.9935 |
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+ | 0.0887 | 9.3333 | 700 | 3.0662 |
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+ | 0.0894 | 9.6667 | 725 | 3.0845 |
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+ | 0.0914 | 10.0 | 750 | 3.0977 |
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+ | 0.0829 | 10.3333 | 775 | 3.1662 |
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+ | 0.0775 | 10.6667 | 800 | 3.1832 |
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+ | 0.0841 | 11.0 | 825 | 3.1821 |
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+ | 0.0753 | 11.3333 | 850 | 3.2082 |
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+ | 0.078 | 11.6667 | 875 | 3.2170 |
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+ | 0.0745 | 12.0 | 900 | 3.2223 |
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+ | 0.0788 | 12.3333 | 925 | 3.2260 |
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+ | 0.0743 | 12.6667 | 950 | 3.2258 |
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+ | 0.0718 | 13.0 | 975 | 3.2253 |
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+ | 0.0744 | 13.3333 | 1000 | 3.2252 |
94
 
95
 
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  ### Framework versions
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The diff for this file is too large to render. See raw diff
 
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