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tsavage68
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chat_400_STEPS_01beta_5e7rate_CDPOSFT

Text Generation
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Safetensors
llama
trl
dpo
Generated from Trainer
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text-generation-inference
Inference Endpoints
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  1. README.md +76 -0
  2. config.json +28 -0
  3. final_checkpoint/config.json +28 -0
  4. final_checkpoint/generation_config.json +10 -0
  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 +298 -0
  9. generation_config.json +10 -0
  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 +298 -0
  14. special_tokens_map.json +24 -0
  15. tokenizer.json +0 -0
  16. tokenizer_config.json +42 -0
  17. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ base_model: tsavage68/chat_600STEPS_1e8rate_SFT
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+ tags:
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ model-index:
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+ - name: chat_400_STEPS_01beta_5e7rate_CDPOSFT
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # chat_400_STEPS_01beta_5e7rate_CDPOSFT
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+
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+ This model is a fine-tuned version of [tsavage68/chat_600STEPS_1e8rate_SFT](https://huggingface.co/tsavage68/chat_600STEPS_1e8rate_SFT) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6851
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+ - Rewards/chosen: -0.0303
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+ - Rewards/rejected: -0.0485
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+ - Rewards/accuracies: 0.5077
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+ - Rewards/margins: 0.0182
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+ - Logps/rejected: -19.2868
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+ - Logps/chosen: -17.0576
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+ - Logits/rejected: -0.6041
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+ - Logits/chosen: -0.6040
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-07
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+ - train_batch_size: 4
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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+ - training_steps: 400
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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+ | 0.6924 | 0.0977 | 50 | 0.6933 | 0.0017 | 0.0020 | 0.4154 | -0.0003 | -18.7815 | -16.7372 | -0.5990 | -0.5988 |
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+ | 0.6889 | 0.1953 | 100 | 0.6896 | -0.0103 | -0.0178 | 0.4769 | 0.0075 | -18.9805 | -16.8580 | -0.6027 | -0.6025 |
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+ | 0.692 | 0.2930 | 150 | 0.6885 | -0.0339 | -0.0443 | 0.4967 | 0.0104 | -19.2452 | -17.0936 | -0.6039 | -0.6038 |
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+ | 0.6898 | 0.3906 | 200 | 0.6871 | -0.0252 | -0.0389 | 0.5033 | 0.0137 | -19.1906 | -17.0066 | -0.6024 | -0.6022 |
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+ | 0.6911 | 0.4883 | 250 | 0.6862 | -0.0287 | -0.0445 | 0.5099 | 0.0159 | -19.2474 | -17.0415 | -0.6037 | -0.6036 |
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+ | 0.6854 | 0.5859 | 300 | 0.6852 | -0.0303 | -0.0482 | 0.5121 | 0.0179 | -19.2838 | -17.0573 | -0.6047 | -0.6046 |
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+ | 0.683 | 0.6836 | 350 | 0.6849 | -0.0303 | -0.0489 | 0.5231 | 0.0186 | -19.2907 | -17.0575 | -0.6039 | -0.6037 |
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+ | 0.6853 | 0.7812 | 400 | 0.6851 | -0.0303 | -0.0485 | 0.5077 | 0.0182 | -19.2868 | -17.0576 | -0.6041 | -0.6040 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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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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