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--- |
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library_name: transformers |
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license: llama3 |
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base_model: tsavage68/IE_L3_1000steps_1e6rate_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_L3_1000steps_1e6rate_01beta_cSFTDPO |
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results: [] |
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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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# IE_L3_1000steps_1e6rate_01beta_cSFTDPO |
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This model is a fine-tuned version of [tsavage68/IE_L3_1000steps_1e6rate_SFT](https://huggingface.co/tsavage68/IE_L3_1000steps_1e6rate_SFT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1802 |
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- Rewards/chosen: -0.8216 |
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- Rewards/rejected: -13.7782 |
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- Rewards/accuracies: 0.7400 |
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- Rewards/margins: 12.9566 |
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- Logps/rejected: -213.4093 |
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- Logps/chosen: -91.0134 |
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- Logits/rejected: -0.8670 |
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- Logits/chosen: -0.7142 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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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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### Training results |
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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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| 0.1913 | 0.4 | 50 | 0.1803 | -0.5046 | -8.7772 | 0.7400 | 8.2726 | -163.3993 | -87.8437 | -0.8451 | -0.7284 | |
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| 0.1386 | 0.8 | 100 | 0.1802 | -1.0228 | -11.9098 | 0.7400 | 10.8870 | -194.7255 | -93.0261 | -0.8546 | -0.7152 | |
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| 0.1386 | 1.2 | 150 | 0.1802 | -0.6732 | -12.7363 | 0.7400 | 12.0631 | -202.9905 | -89.5298 | -0.8582 | -0.7093 | |
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| 0.1733 | 1.6 | 200 | 0.1802 | -0.6775 | -12.8705 | 0.7400 | 12.1930 | -204.3321 | -89.5723 | -0.8611 | -0.7114 | |
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| 0.2253 | 2.0 | 250 | 0.1802 | -0.7149 | -13.0474 | 0.7400 | 12.3326 | -206.1017 | -89.9464 | -0.8603 | -0.7104 | |
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| 0.1386 | 2.4 | 300 | 0.1802 | -0.7327 | -13.0995 | 0.7400 | 12.3668 | -206.6222 | -90.1248 | -0.8593 | -0.7091 | |
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| 0.1213 | 2.8 | 350 | 0.1802 | -0.7598 | -13.2905 | 0.7400 | 12.5307 | -208.5327 | -90.3961 | -0.8621 | -0.7116 | |
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| 0.1906 | 3.2 | 400 | 0.1802 | -0.7893 | -13.4540 | 0.7400 | 12.6647 | -210.1669 | -90.6907 | -0.8653 | -0.7135 | |
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| 0.1906 | 3.6 | 450 | 0.1802 | -0.7880 | -13.4497 | 0.7400 | 12.6617 | -210.1245 | -90.6778 | -0.8657 | -0.7141 | |
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| 0.2079 | 4.0 | 500 | 0.1802 | -0.8075 | -13.6024 | 0.7400 | 12.7949 | -211.6511 | -90.8724 | -0.8653 | -0.7127 | |
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| 0.156 | 4.4 | 550 | 0.1802 | -0.8042 | -13.6207 | 0.7400 | 12.8165 | -211.8345 | -90.8401 | -0.8658 | -0.7138 | |
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| 0.1213 | 4.8 | 600 | 0.1802 | -0.8154 | -13.6478 | 0.7400 | 12.8323 | -212.1049 | -90.9520 | -0.8661 | -0.7139 | |
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| 0.1906 | 5.2 | 650 | 0.1802 | -0.8263 | -13.7419 | 0.7400 | 12.9156 | -213.0464 | -91.0612 | -0.8667 | -0.7144 | |
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| 0.2426 | 5.6 | 700 | 0.1802 | -0.8316 | -13.7569 | 0.7400 | 12.9253 | -213.1964 | -91.1135 | -0.8668 | -0.7144 | |
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| 0.2599 | 6.0 | 750 | 0.1802 | -0.8155 | -13.7626 | 0.7400 | 12.9471 | -213.2537 | -90.9532 | -0.8669 | -0.7141 | |
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| 0.1213 | 6.4 | 800 | 0.1802 | -0.8348 | -13.7975 | 0.7400 | 12.9627 | -213.6019 | -91.1453 | -0.8666 | -0.7139 | |
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| 0.2426 | 6.8 | 850 | 0.1802 | -0.8359 | -13.7784 | 0.7400 | 12.9425 | -213.4111 | -91.1564 | -0.8664 | -0.7143 | |
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| 0.1733 | 7.2 | 900 | 0.1802 | -0.8274 | -13.7943 | 0.7400 | 12.9670 | -213.5706 | -91.0716 | -0.8673 | -0.7144 | |
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| 0.1386 | 7.6 | 950 | 0.1802 | -0.8173 | -13.7791 | 0.7400 | 12.9618 | -213.4180 | -90.9708 | -0.8670 | -0.7140 | |
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| 0.156 | 8.0 | 1000 | 0.1802 | -0.8216 | -13.7782 | 0.7400 | 12.9566 | -213.4093 | -91.0134 | -0.8670 | -0.7142 | |
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### Framework versions |
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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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