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tsavage68
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UTI_M2_1000steps_1e7rate_SFT

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

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Files changed (13) hide show
  1. README.md +43 -43
  2. config.json +1 -1
  3. final_checkpoint/config.json +1 -1
  4. final_checkpoint/generation_config.json +1 -1
  5. final_checkpoint/model-00001-of-00003.safetensors +1 -1
  6. final_checkpoint/model-00002-of-00003.safetensors +1 -1
  7. final_checkpoint/model-00003-of-00003.safetensors +1 -1
  8. generation_config.json +1 -1
  9. model-00001-of-00003.safetensors +1 -1
  10. model-00002-of-00003.safetensors +1 -1
  11. model-00003-of-00003.safetensors +1 -1
  12. tokenizer.json +1 -1
  13. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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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.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7893
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  ## Model description
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@@ -51,51 +51,51 @@ 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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- | 2.3115 | 0.3333 | 25 | 2.3023 |
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- | 2.3052 | 0.6667 | 50 | 2.2848 |
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- | 2.2536 | 1.0 | 75 | 2.2429 |
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- | 2.1452 | 1.3333 | 100 | 2.1703 |
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- | 2.0776 | 1.6667 | 125 | 2.1017 |
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- | 1.9661 | 2.0 | 150 | 2.0450 |
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- | 1.9467 | 2.3333 | 175 | 2.0002 |
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- | 1.9721 | 2.6667 | 200 | 1.9619 |
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- | 1.958 | 3.0 | 225 | 1.9330 |
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- | 1.8232 | 3.3333 | 250 | 1.9097 |
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- | 1.79 | 3.6667 | 275 | 1.8897 |
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- | 1.8144 | 4.0 | 300 | 1.8728 |
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- | 1.8022 | 4.3333 | 325 | 1.8594 |
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- | 1.7519 | 4.6667 | 350 | 1.8478 |
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- | 1.7756 | 5.0 | 375 | 1.8375 |
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- | 1.7236 | 5.3333 | 400 | 1.8291 |
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- | 1.7251 | 5.6667 | 425 | 1.8218 |
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- | 1.6927 | 6.0 | 450 | 1.8160 |
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- | 1.6903 | 6.3333 | 475 | 1.8110 |
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- | 1.6437 | 6.6667 | 500 | 1.8065 |
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- | 1.7401 | 7.0 | 525 | 1.8024 |
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- | 1.7231 | 7.3333 | 550 | 1.7999 |
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- | 1.6817 | 7.6667 | 575 | 1.7973 |
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- | 1.6488 | 8.0 | 600 | 1.7953 |
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- | 1.6631 | 8.3333 | 625 | 1.7938 |
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- | 1.5865 | 8.6667 | 650 | 1.7922 |
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- | 1.7452 | 9.0 | 675 | 1.7913 |
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- | 1.6411 | 9.3333 | 700 | 1.7904 |
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- | 1.678 | 9.6667 | 725 | 1.7905 |
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- | 1.7495 | 10.0 | 750 | 1.7900 |
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- | 1.6078 | 10.3333 | 775 | 1.7896 |
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- | 1.5673 | 10.6667 | 800 | 1.7892 |
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- | 1.7028 | 11.0 | 825 | 1.7893 |
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- | 1.6971 | 11.3333 | 850 | 1.7894 |
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- | 1.6289 | 11.6667 | 875 | 1.7895 |
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- | 1.66 | 12.0 | 900 | 1.7893 |
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- | 1.6261 | 12.3333 | 925 | 1.7893 |
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- | 1.6062 | 12.6667 | 950 | 1.7893 |
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- | 1.6743 | 13.0 | 975 | 1.7893 |
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- | 1.6396 | 13.3333 | 1000 | 1.7893 |
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  ### Framework versions
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- - Transformers 4.41.1
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  - Pytorch 2.0.0+cu117
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- - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1047
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 2.4021 | 0.3333 | 25 | 2.3941 |
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+ | 2.3235 | 0.6667 | 50 | 2.2471 |
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+ | 2.0863 | 1.0 | 75 | 1.9386 |
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+ | 1.6662 | 1.3333 | 100 | 1.5791 |
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+ | 1.2956 | 1.6667 | 125 | 1.2544 |
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+ | 1.214 | 2.0 | 150 | 1.2116 |
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+ | 1.202 | 2.3333 | 175 | 1.1861 |
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+ | 1.1813 | 2.6667 | 200 | 1.1668 |
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+ | 1.1696 | 3.0 | 225 | 1.1528 |
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+ | 1.1052 | 3.3333 | 250 | 1.1412 |
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+ | 1.0614 | 3.6667 | 275 | 1.1329 |
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+ | 1.1106 | 4.0 | 300 | 1.1271 |
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+ | 1.1019 | 4.3333 | 325 | 1.1228 |
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+ | 1.0691 | 4.6667 | 350 | 1.1212 |
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+ | 1.0947 | 5.0 | 375 | 1.1153 |
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+ | 1.0689 | 5.3333 | 400 | 1.1134 |
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+ | 1.0598 | 5.6667 | 425 | 1.1116 |
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+ | 1.0459 | 6.0 | 450 | 1.1111 |
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+ | 1.0518 | 6.3333 | 475 | 1.1097 |
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+ | 1.045 | 6.6667 | 500 | 1.1092 |
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+ | 1.0658 | 7.0 | 525 | 1.1066 |
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+ | 1.0706 | 7.3333 | 550 | 1.1067 |
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+ | 1.0514 | 7.6667 | 575 | 1.1057 |
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+ | 1.0412 | 8.0 | 600 | 1.1063 |
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+ | 1.0455 | 8.3333 | 625 | 1.1052 |
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+ | 0.9657 | 8.6667 | 650 | 1.1057 |
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+ | 1.1015 | 9.0 | 675 | 1.1052 |
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+ | 1.0294 | 9.3333 | 700 | 1.1051 |
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+ | 1.0399 | 9.6667 | 725 | 1.1052 |
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+ | 1.1125 | 10.0 | 750 | 1.1047 |
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+ | 1.0219 | 10.3333 | 775 | 1.1046 |
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+ | 0.9862 | 10.6667 | 800 | 1.1048 |
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+ | 1.0682 | 11.0 | 825 | 1.1049 |
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+ | 1.0587 | 11.3333 | 850 | 1.1049 |
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+ | 1.0217 | 11.6667 | 875 | 1.1051 |
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+ | 1.0547 | 12.0 | 900 | 1.1047 |
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+ | 1.0047 | 12.3333 | 925 | 1.1047 |
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+ | 1.021 | 12.6667 | 950 | 1.1047 |
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+ | 1.0528 | 13.0 | 975 | 1.1047 |
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+ | 1.0385 | 13.3333 | 1000 | 1.1047 |
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  ### Framework versions
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+ - Transformers 4.41.2
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  - Pytorch 2.0.0+cu117
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+ - Datasets 2.19.2
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -20,7 +20,7 @@
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  "sliding_window": null,
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  "tie_word_embeddings": false,
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  "torch_dtype": "float16",
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- "transformers_version": "4.41.1",
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  "use_cache": false,
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  "vocab_size": 32000
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  }
 
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  "sliding_window": null,
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  "tie_word_embeddings": false,
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  "torch_dtype": "float16",
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+ "transformers_version": "4.41.2",
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  "vocab_size": 32000
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  }
final_checkpoint/config.json CHANGED
@@ -20,7 +20,7 @@
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  }
 
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  "tie_word_embeddings": false,
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+ "transformers_version": "4.41.2",
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final_checkpoint/generation_config.json CHANGED
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