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tsavage68
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IE_M2_1000steps_1e5rate_05beta_cSFTDPO

Text Generation
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mistral
trl
dpo
Generated from Trainer
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text-generation-inference
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  1. README.md +90 -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
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  10. model-00001-of-00003.safetensors +3 -0
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  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/IE_M2_1000steps_1e7rate_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: IE_M2_1000steps_1e5rate_05beta_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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+ # IE_M2_1000steps_1e5rate_05beta_cSFTDPO
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+
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+ This model is a fine-tuned version of [tsavage68/IE_M2_1000steps_1e7rate_SFT](https://huggingface.co/tsavage68/IE_M2_1000steps_1e7rate_SFT) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3743
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+ - Rewards/chosen: 0.3568
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+ - Rewards/rejected: -10.3713
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+ - Rewards/accuracies: 0.4600
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+ - Rewards/margins: 10.7281
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+ - Logps/rejected: -61.7645
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+ - Logps/chosen: -41.4919
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+ - Logits/rejected: -2.8824
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+ - Logits/chosen: -2.8255
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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-05
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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: 1000
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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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+ | 0.4505 | 0.4 | 50 | 0.3743 | 0.0148 | -10.0517 | 0.4600 | 10.0665 | -61.1252 | -42.1759 | -2.8838 | -2.8273 |
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+ | 0.3812 | 0.8 | 100 | 0.3743 | 0.2632 | -10.3292 | 0.4600 | 10.5924 | -61.6802 | -41.6790 | -2.8826 | -2.8259 |
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+ | 0.3119 | 1.2 | 150 | 0.3743 | 0.2569 | -10.3314 | 0.4600 | 10.5883 | -61.6846 | -41.6916 | -2.8827 | -2.8260 |
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+ | 0.3639 | 1.6 | 200 | 0.3743 | 0.2727 | -10.3235 | 0.4600 | 10.5962 | -61.6688 | -41.6601 | -2.8826 | -2.8258 |
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+ | 0.4332 | 2.0 | 250 | 0.3743 | 0.2813 | -10.3480 | 0.4600 | 10.6293 | -61.7178 | -41.6430 | -2.8826 | -2.8259 |
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+ | 0.3986 | 2.4 | 300 | 0.3743 | 0.3178 | -10.3414 | 0.4600 | 10.6592 | -61.7047 | -41.5699 | -2.8827 | -2.8259 |
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+ | 0.3986 | 2.8 | 350 | 0.3743 | 0.3154 | -10.3544 | 0.4600 | 10.6698 | -61.7306 | -41.5747 | -2.8826 | -2.8259 |
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+ | 0.4505 | 3.2 | 400 | 0.3743 | 0.3159 | -10.3613 | 0.4600 | 10.6772 | -61.7444 | -41.5738 | -2.8825 | -2.8258 |
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+ | 0.4505 | 3.6 | 450 | 0.3743 | 0.3246 | -10.3624 | 0.4600 | 10.6870 | -61.7467 | -41.5564 | -2.8825 | -2.8258 |
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+ | 0.4332 | 4.0 | 500 | 0.3743 | 0.3249 | -10.3692 | 0.4600 | 10.6941 | -61.7602 | -41.5557 | -2.8822 | -2.8254 |
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+ | 0.3292 | 4.4 | 550 | 0.3743 | 0.3363 | -10.3624 | 0.4600 | 10.6987 | -61.7466 | -41.5329 | -2.8823 | -2.8256 |
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+ | 0.3639 | 4.8 | 600 | 0.3743 | 0.3417 | -10.3678 | 0.4600 | 10.7095 | -61.7575 | -41.5221 | -2.8824 | -2.8256 |
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+ | 0.4505 | 5.2 | 650 | 0.3743 | 0.3404 | -10.3639 | 0.4600 | 10.7044 | -61.7497 | -41.5247 | -2.8822 | -2.8254 |
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+ | 0.4505 | 5.6 | 700 | 0.3743 | 0.3556 | -10.3816 | 0.4600 | 10.7372 | -61.7850 | -41.4942 | -2.8822 | -2.8254 |
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+ | 0.3639 | 6.0 | 750 | 0.3743 | 0.3640 | -10.3765 | 0.4600 | 10.7405 | -61.7749 | -41.4776 | -2.8823 | -2.8255 |
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+ | 0.2426 | 6.4 | 800 | 0.3743 | 0.3528 | -10.3704 | 0.4600 | 10.7232 | -61.7626 | -41.4999 | -2.8821 | -2.8253 |
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+ | 0.5025 | 6.8 | 850 | 0.3743 | 0.3564 | -10.3721 | 0.4600 | 10.7285 | -61.7660 | -41.4928 | -2.8822 | -2.8254 |
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+ | 0.3119 | 7.2 | 900 | 0.3743 | 0.3552 | -10.3719 | 0.4600 | 10.7271 | -61.7656 | -41.4952 | -2.8824 | -2.8255 |
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+ | 0.3466 | 7.6 | 950 | 0.3743 | 0.3568 | -10.3713 | 0.4600 | 10.7281 | -61.7645 | -41.4919 | -2.8824 | -2.8255 |
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+ | 0.3812 | 8.0 | 1000 | 0.3743 | 0.3568 | -10.3713 | 0.4600 | 10.7281 | -61.7645 | -41.4919 | -2.8824 | -2.8255 |
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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 2.0.0+cu117
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+ - Datasets 3.0.0
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+ - Tokenizers 0.19.1
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