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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_1e7rate_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_M2_1000steps_1e7rate_01beta_cSFTDPO |
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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: -0.3291 |
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- Rewards/rejected: -6.1017 |
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- Rewards/accuracies: 0.4600 |
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- Rewards/margins: 5.7727 |
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- Logps/rejected: -102.0393 |
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- Logps/chosen: -45.4965 |
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- Logits/rejected: -2.8684 |
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- Logits/chosen: -2.8050 |
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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-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: 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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| 0.558 | 0.4 | 50 | 0.4553 | -0.0349 | -0.8002 | 0.4600 | 0.7653 | -49.0237 | -42.5545 | -2.9038 | -2.8422 | |
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| 0.3818 | 0.8 | 100 | 0.3747 | -0.1730 | -3.5887 | 0.4600 | 3.4157 | -76.9091 | -43.9359 | -2.8759 | -2.8145 | |
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| 0.3123 | 1.2 | 150 | 0.3744 | -0.2403 | -4.3676 | 0.4600 | 4.1273 | -84.6980 | -44.6088 | -2.8742 | -2.8132 | |
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| 0.364 | 1.6 | 200 | 0.3744 | -0.2016 | -4.5800 | 0.4600 | 4.3784 | -86.8216 | -44.2215 | -2.8745 | -2.8130 | |
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| 0.4332 | 2.0 | 250 | 0.3743 | -0.2684 | -4.8731 | 0.4600 | 4.6046 | -89.7525 | -44.8898 | -2.8737 | -2.8118 | |
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| 0.3986 | 2.4 | 300 | 0.3743 | -0.1931 | -5.0362 | 0.4600 | 4.8430 | -91.3835 | -44.1367 | -2.8747 | -2.8125 | |
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| 0.3986 | 2.8 | 350 | 0.3743 | -0.1846 | -5.1505 | 0.4600 | 4.9659 | -92.5268 | -44.0517 | -2.8745 | -2.8120 | |
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| 0.4506 | 3.2 | 400 | 0.3743 | -0.1881 | -5.2928 | 0.4600 | 5.1047 | -93.9497 | -44.0868 | -2.8736 | -2.8107 | |
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| 0.4505 | 3.6 | 450 | 0.3743 | -0.2250 | -5.5587 | 0.4600 | 5.3337 | -96.6092 | -44.4557 | -2.8724 | -2.8094 | |
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| 0.4332 | 4.0 | 500 | 0.3743 | -0.4284 | -5.9879 | 0.4600 | 5.5595 | -100.9007 | -46.4892 | -2.8698 | -2.8066 | |
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| 0.3292 | 4.4 | 550 | 0.3743 | -0.3669 | -5.9892 | 0.4600 | 5.6223 | -100.9135 | -45.8741 | -2.8695 | -2.8063 | |
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| 0.3639 | 4.8 | 600 | 0.3743 | -0.2855 | -5.9594 | 0.4600 | 5.6739 | -100.6163 | -45.0607 | -2.8699 | -2.8066 | |
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| 0.4505 | 5.2 | 650 | 0.3743 | -0.3591 | -6.0896 | 0.4600 | 5.7305 | -101.9183 | -45.7970 | -2.8685 | -2.8052 | |
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| 0.4505 | 5.6 | 700 | 0.3743 | -0.3292 | -6.0868 | 0.4600 | 5.7576 | -101.8900 | -45.4977 | -2.8687 | -2.8054 | |
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| 0.3639 | 6.0 | 750 | 0.3743 | -0.3284 | -6.1008 | 0.4600 | 5.7724 | -102.0299 | -45.4898 | -2.8683 | -2.8049 | |
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| 0.2426 | 6.4 | 800 | 0.3743 | -0.3283 | -6.0983 | 0.4600 | 5.7700 | -102.0044 | -45.4881 | -2.8684 | -2.8051 | |
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| 0.5025 | 6.8 | 850 | 0.3743 | -0.3251 | -6.0987 | 0.4600 | 5.7737 | -102.0092 | -45.4562 | -2.8685 | -2.8051 | |
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| 0.3119 | 7.2 | 900 | 0.3743 | -0.3297 | -6.1009 | 0.4600 | 5.7712 | -102.0308 | -45.5028 | -2.8684 | -2.8050 | |
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| 0.3466 | 7.6 | 950 | 0.3743 | -0.3291 | -6.1017 | 0.4600 | 5.7727 | -102.0393 | -45.4965 | -2.8684 | -2.8050 | |
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| 0.3812 | 8.0 | 1000 | 0.3743 | -0.3291 | -6.1017 | 0.4600 | 5.7727 | -102.0393 | -45.4965 | -2.8684 | -2.8050 | |
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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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