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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_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_1e7rate_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: 0.1803 |
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- Rewards/chosen: -0.5346 |
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- Rewards/rejected: -8.6468 |
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- Rewards/accuracies: 0.7400 |
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- Rewards/margins: 8.1123 |
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- Logps/rejected: -162.0956 |
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- Logps/chosen: -88.1433 |
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- Logits/rejected: -0.8498 |
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- Logits/chosen: -0.7319 |
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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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| 0.6292 | 0.4 | 50 | 0.5972 | -0.0178 | -0.2247 | 0.7400 | 0.2070 | -77.8745 | -82.9754 | -0.7952 | -0.7369 | |
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| 0.2432 | 0.8 | 100 | 0.2531 | -0.1984 | -1.9084 | 0.7400 | 1.7099 | -94.7109 | -84.7823 | -0.7935 | -0.7222 | |
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| 0.1468 | 1.2 | 150 | 0.1842 | -0.4156 | -4.4900 | 0.7400 | 4.0744 | -120.5273 | -86.9542 | -0.8149 | -0.7193 | |
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| 0.1745 | 1.6 | 200 | 0.1807 | -0.4305 | -6.5857 | 0.7400 | 6.1551 | -141.4839 | -87.1031 | -0.8342 | -0.7283 | |
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| 0.2254 | 2.0 | 250 | 0.1805 | -0.4554 | -7.3110 | 0.7400 | 6.8555 | -148.7368 | -87.3519 | -0.8373 | -0.7278 | |
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| 0.1389 | 2.4 | 300 | 0.1804 | -0.4666 | -7.7073 | 0.7400 | 7.2408 | -152.7006 | -87.4635 | -0.8397 | -0.7280 | |
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| 0.1215 | 2.8 | 350 | 0.1804 | -0.4933 | -8.0779 | 0.7400 | 7.5846 | -156.4058 | -87.7304 | -0.8446 | -0.7309 | |
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| 0.191 | 3.2 | 400 | 0.1804 | -0.5121 | -8.2398 | 0.7400 | 7.7277 | -158.0253 | -87.9188 | -0.8463 | -0.7322 | |
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| 0.1906 | 3.6 | 450 | 0.1804 | -0.5199 | -8.2886 | 0.7400 | 7.7687 | -158.5128 | -87.9963 | -0.8471 | -0.7317 | |
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| 0.2084 | 4.0 | 500 | 0.1804 | -0.5104 | -8.4325 | 0.7400 | 7.9221 | -159.9520 | -87.9018 | -0.8488 | -0.7326 | |
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| 0.1561 | 4.4 | 550 | 0.1803 | -0.5293 | -8.5197 | 0.7400 | 7.9905 | -160.8244 | -88.0903 | -0.8493 | -0.7326 | |
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| 0.1213 | 4.8 | 600 | 0.1803 | -0.5356 | -8.5680 | 0.7400 | 8.0324 | -161.3075 | -88.1538 | -0.8503 | -0.7332 | |
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| 0.1907 | 5.2 | 650 | 0.1803 | -0.5333 | -8.6184 | 0.7400 | 8.0851 | -161.8111 | -88.1307 | -0.8505 | -0.7330 | |
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| 0.2427 | 5.6 | 700 | 0.1803 | -0.5362 | -8.6233 | 0.7400 | 8.0871 | -161.8604 | -88.1602 | -0.8507 | -0.7332 | |
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| 0.2601 | 6.0 | 750 | 0.1803 | -0.5367 | -8.6352 | 0.7400 | 8.0985 | -161.9794 | -88.1651 | -0.8509 | -0.7332 | |
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| 0.1213 | 6.4 | 800 | 0.1803 | -0.5353 | -8.6312 | 0.7400 | 8.0960 | -161.9397 | -88.1506 | -0.8507 | -0.7334 | |
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| 0.2426 | 6.8 | 850 | 0.1803 | -0.5305 | -8.6468 | 0.7400 | 8.1163 | -162.0951 | -88.1023 | -0.8507 | -0.7328 | |
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| 0.1733 | 7.2 | 900 | 0.1803 | -0.5246 | -8.6359 | 0.7400 | 8.1112 | -161.9858 | -88.0442 | -0.8503 | -0.7323 | |
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| 0.1388 | 7.6 | 950 | 0.1803 | -0.5346 | -8.6468 | 0.7400 | 8.1123 | -162.0956 | -88.1433 | -0.8498 | -0.7319 | |
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| 0.1561 | 8.0 | 1000 | 0.1803 | -0.5346 | -8.6468 | 0.7400 | 8.1123 | -162.0956 | -88.1433 | -0.8498 | -0.7319 | |
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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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