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tsavage68
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Na_M2_200steps_1e6rate_01beta_cSFTDPO

Text Generation
Transformers
Safetensors
mistral
trl
dpo
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
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  1. README.md +74 -0
  2. config.json +27 -0
  3. final_checkpoint/config.json +27 -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 +44 -0
  17. training_args.bin +3 -0
README.md ADDED
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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: tsavage68/Na_M2_1000steps_1e7_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: Na_M2_200steps_1e7rate_01beta_cSFTDPO
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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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+ # Na_M2_200steps_1e7rate_01beta_cSFTDPO
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+
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+ This model is a fine-tuned version of [tsavage68/Na_M2_1000steps_1e7_SFT](https://huggingface.co/tsavage68/Na_M2_1000steps_1e7_SFT) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Rewards/chosen: 2.0056
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+ - Rewards/rejected: -8.7799
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+ - Rewards/accuracies: 1.0
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+ - Rewards/margins: 10.7855
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+ - Logps/rejected: -167.7224
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+ - Logps/chosen: -28.0760
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+ - Logits/rejected: -2.4173
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+ - Logits/chosen: -2.4429
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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: 2
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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: 4
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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: 200
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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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+ | 0.0514 | 0.2667 | 50 | 0.0095 | 1.0907 | -3.6125 | 1.0 | 4.7032 | -116.0486 | -37.2253 | -2.5048 | -2.5196 |
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+ | 0.0 | 0.5333 | 100 | 0.0000 | 1.9516 | -8.2814 | 1.0 | 10.2330 | -162.7370 | -28.6162 | -2.4273 | -2.4516 |
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+ | 0.0 | 0.8 | 150 | 0.0000 | 2.0033 | -8.7623 | 1.0 | 10.7656 | -167.5460 | -28.0989 | -2.4174 | -2.4431 |
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+ | 0.0 | 1.0667 | 200 | 0.0000 | 2.0056 | -8.7799 | 1.0 | 10.7855 | -167.7224 | -28.0760 | -2.4173 | -2.4429 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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