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tsavage68
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400STEPS_1e7rate_01beta_Mistral

Text Generation
Transformers
Safetensors
mistral
trl
dpo
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +77 -0
  2. config.json +26 -0
  3. final_checkpoint/config.json +26 -0
  4. final_checkpoint/generation_config.json +6 -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
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  9. generation_config.json +6 -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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+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-v0.1
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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: 400STEPS_1e7rate_01beta_T5
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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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+ # 400STEPS_1e7rate_01beta_T5
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6483
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+ - Rewards/chosen: -0.0026
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+ - Rewards/rejected: -0.1019
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+ - Rewards/accuracies: 0.6593
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+ - Rewards/margins: 0.0994
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+ - Logps/rejected: -15.7387
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+ - Logps/chosen: -12.9908
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+ - Logits/rejected: -3.1652
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+ - Logits/chosen: -3.1650
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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: 1e-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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+ | 0.6916 | 0.1 | 50 | 0.6908 | 0.0048 | 0.0002 | 0.5670 | 0.0047 | -14.7176 | -12.9168 | -3.1591 | -3.1588 |
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+ | 0.6821 | 0.2 | 100 | 0.6764 | 0.0187 | -0.0159 | 0.6681 | 0.0346 | -14.8782 | -12.7778 | -3.1625 | -3.1622 |
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+ | 0.6647 | 0.29 | 150 | 0.6629 | 0.0225 | -0.0422 | 0.6659 | 0.0648 | -15.1414 | -12.7399 | -3.1625 | -3.1623 |
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+ | 0.6536 | 0.39 | 200 | 0.6552 | 0.0148 | -0.0679 | 0.6505 | 0.0827 | -15.3987 | -12.8175 | -3.1657 | -3.1654 |
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+ | 0.6354 | 0.49 | 250 | 0.6509 | 0.0022 | -0.0909 | 0.6593 | 0.0931 | -15.6282 | -12.9431 | -3.1646 | -3.1643 |
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+ | 0.6468 | 0.59 | 300 | 0.6484 | -0.0022 | -0.1013 | 0.6527 | 0.0991 | -15.7319 | -12.9869 | -3.1653 | -3.1650 |
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+ | 0.6549 | 0.68 | 350 | 0.6481 | -0.0021 | -0.1019 | 0.6571 | 0.0998 | -15.7386 | -12.9865 | -3.1652 | -3.1650 |
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+ | 0.6684 | 0.78 | 400 | 0.6483 | -0.0026 | -0.1019 | 0.6593 | 0.0994 | -15.7387 | -12.9908 | -3.1652 | -3.1650 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.1
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