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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_1e7rate_03beta_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_1e7rate_03beta_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: -1.0922 |
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- Rewards/rejected: -10.0336 |
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- Rewards/accuracies: 0.7400 |
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- Rewards/margins: 8.9414 |
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- Logps/rejected: -109.0726 |
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- Logps/chosen: -86.4386 |
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- Logits/rejected: -0.8003 |
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- Logits/chosen: -0.7150 |
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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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| 0.5177 | 0.4 | 50 | 0.4502 | -0.0545 | -0.6708 | 0.7400 | 0.6163 | -77.8632 | -82.9793 | -0.7959 | -0.7377 | |
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| 0.1418 | 0.8 | 100 | 0.1816 | -0.5946 | -5.5441 | 0.7400 | 4.9495 | -94.1076 | -84.7799 | -0.7931 | -0.7224 | |
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| 0.1388 | 1.2 | 150 | 0.1803 | -0.8790 | -8.0921 | 0.7400 | 7.2131 | -102.6009 | -85.7278 | -0.7962 | -0.7173 | |
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| 0.1733 | 1.6 | 200 | 0.1803 | -0.9325 | -8.7008 | 0.7400 | 7.7683 | -104.6298 | -85.9060 | -0.7980 | -0.7170 | |
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| 0.2253 | 2.0 | 250 | 0.1803 | -0.9653 | -8.8898 | 0.7400 | 7.9244 | -105.2598 | -86.0156 | -0.7979 | -0.7163 | |
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| 0.1387 | 2.4 | 300 | 0.1802 | -0.9837 | -9.1362 | 0.7400 | 8.1525 | -106.0812 | -86.0766 | -0.7975 | -0.7157 | |
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| 0.1213 | 2.8 | 350 | 0.1802 | -1.0210 | -9.4276 | 0.7400 | 8.4066 | -107.0527 | -86.2011 | -0.7989 | -0.7159 | |
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| 0.1906 | 3.2 | 400 | 0.1802 | -1.0245 | -9.5511 | 0.7400 | 8.5265 | -107.4642 | -86.2129 | -0.7991 | -0.7152 | |
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| 0.1906 | 3.6 | 450 | 0.1802 | -1.0419 | -9.6482 | 0.7400 | 8.6063 | -107.7879 | -86.2706 | -0.7995 | -0.7155 | |
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| 0.208 | 4.0 | 500 | 0.1802 | -1.0676 | -9.8319 | 0.7400 | 8.7643 | -108.4001 | -86.3564 | -0.7999 | -0.7153 | |
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| 0.156 | 4.4 | 550 | 0.1802 | -1.0697 | -9.9071 | 0.7400 | 8.8374 | -108.6509 | -86.3635 | -0.8011 | -0.7160 | |
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| 0.1213 | 4.8 | 600 | 0.1802 | -1.0716 | -9.9151 | 0.7400 | 8.8436 | -108.6776 | -86.3697 | -0.8002 | -0.7154 | |
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| 0.1906 | 5.2 | 650 | 0.1802 | -1.0758 | -9.9883 | 0.7400 | 8.9125 | -108.9217 | -86.3839 | -0.8005 | -0.7154 | |
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| 0.2426 | 5.6 | 700 | 0.1802 | -1.0847 | -10.0383 | 0.7400 | 8.9536 | -109.0882 | -86.4134 | -0.8003 | -0.7150 | |
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| 0.2599 | 6.0 | 750 | 0.1802 | -1.0957 | -10.0559 | 0.7400 | 8.9602 | -109.1469 | -86.4500 | -0.8008 | -0.7156 | |
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| 0.1213 | 6.4 | 800 | 0.1802 | -1.0865 | -10.0490 | 0.7400 | 8.9625 | -109.1239 | -86.4195 | -0.7997 | -0.7139 | |
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| 0.2426 | 6.8 | 850 | 0.1802 | -1.0859 | -10.0366 | 0.7400 | 8.9506 | -109.0825 | -86.4176 | -0.8000 | -0.7146 | |
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| 0.1733 | 7.2 | 900 | 0.1802 | -1.0860 | -10.0398 | 0.7400 | 8.9538 | -109.0932 | -86.4178 | -0.8002 | -0.7149 | |
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| 0.1386 | 7.6 | 950 | 0.1802 | -1.0922 | -10.0336 | 0.7400 | 8.9414 | -109.0726 | -86.4386 | -0.8003 | -0.7150 | |
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| 0.156 | 8.0 | 1000 | 0.1802 | -1.0922 | -10.0336 | 0.7400 | 8.9414 | -109.0726 | -86.4386 | -0.8003 | -0.7150 | |
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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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