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--- |
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base_model: princeton-nlp/Llama-3-Base-8B-SFT |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: llama-8b-dpo-full |
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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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# llama-8b-dpo-full |
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This model is a fine-tuned version of [princeton-nlp/Llama-3-Base-8B-SFT](https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6316 |
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- Rewards/chosen: 0.6899 |
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- Rewards/rejected: 0.3044 |
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- Rewards/accuracies: 0.6600 |
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- Rewards/margins: 0.3855 |
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- Logps/rejected: -2200.0752 |
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- Logps/chosen: -2603.7832 |
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- Logits/rejected: -1.4288 |
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- Logits/chosen: -1.4752 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 16 |
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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_ratio: 0.1 |
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- num_epochs: 1 |
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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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| 0.6558 | 0.05 | 100 | 0.6527 | 0.7712 | 0.5799 | 0.5740 | 0.1913 | -2172.5291 | -2595.6543 | -1.1822 | -1.2241 | |
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| 0.6404 | 0.1 | 200 | 0.6911 | 0.4590 | 0.2677 | 0.5860 | 0.1913 | -2203.7483 | -2626.8760 | -1.2019 | -1.2423 | |
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| 0.6725 | 0.16 | 300 | 0.6603 | 0.8108 | 0.5231 | 0.6320 | 0.2877 | -2178.2058 | -2591.6921 | -1.3149 | -1.3646 | |
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| 0.689 | 0.21 | 400 | 0.6529 | 0.8101 | 0.4993 | 0.6280 | 0.3108 | -2180.5830 | -2591.7649 | -1.4428 | -1.5029 | |
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| 0.6682 | 0.26 | 500 | 0.6674 | 0.9667 | 0.6125 | 0.6420 | 0.3542 | -2169.2654 | -2576.1008 | -1.5148 | -1.5665 | |
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| 0.6309 | 0.31 | 600 | 0.6445 | 0.8348 | 0.4673 | 0.6580 | 0.3675 | -2183.7852 | -2589.2971 | -1.5885 | -1.6449 | |
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| 0.6467 | 0.37 | 700 | 0.6482 | 0.8852 | 0.5455 | 0.6240 | 0.3397 | -2175.9651 | -2584.2512 | -1.6562 | -1.7105 | |
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| 0.6215 | 0.42 | 800 | 0.6453 | 1.0902 | 0.6825 | 0.6380 | 0.4077 | -2162.2678 | -2563.7546 | -1.6541 | -1.7085 | |
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| 0.6674 | 0.47 | 900 | 0.6416 | 0.7802 | 0.4490 | 0.6440 | 0.3312 | -2185.6135 | -2594.7568 | -1.5145 | -1.5652 | |
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| 0.644 | 0.52 | 1000 | 0.6500 | 0.7077 | 0.3679 | 0.6400 | 0.3398 | -2193.7285 | -2602.0039 | -1.4506 | -1.5047 | |
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| 0.6539 | 0.58 | 1100 | 0.6389 | 0.8477 | 0.4852 | 0.6500 | 0.3625 | -2181.9937 | -2588.0068 | -1.4697 | -1.5227 | |
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| 0.7267 | 0.63 | 1200 | 0.6421 | 0.5390 | 0.2257 | 0.6620 | 0.3133 | -2207.9438 | -2618.8738 | -1.6292 | -1.6800 | |
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| 0.5746 | 0.68 | 1300 | 0.6301 | 0.9057 | 0.4892 | 0.6660 | 0.4164 | -2181.5920 | -2582.2095 | -1.4994 | -1.5461 | |
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| 0.6053 | 0.73 | 1400 | 0.6342 | 0.8758 | 0.4563 | 0.6660 | 0.4196 | -2184.8909 | -2585.1914 | -1.4440 | -1.4891 | |
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| 0.6232 | 0.79 | 1500 | 0.6324 | 0.8055 | 0.3994 | 0.6580 | 0.4062 | -2190.5796 | -2592.2219 | -1.4283 | -1.4759 | |
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| 0.6326 | 0.84 | 1600 | 0.6392 | 0.4525 | 0.1032 | 0.6560 | 0.3493 | -2220.1997 | -2627.5283 | -1.4501 | -1.4959 | |
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| 0.6469 | 0.89 | 1700 | 0.6306 | 0.7453 | 0.3498 | 0.6660 | 0.3955 | -2195.5359 | -2598.2412 | -1.4289 | -1.4758 | |
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| 0.669 | 0.94 | 1800 | 0.6323 | 0.6544 | 0.2748 | 0.6600 | 0.3796 | -2203.0393 | -2607.3367 | -1.4308 | -1.4769 | |
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| 0.6531 | 0.99 | 1900 | 0.6317 | 0.6900 | 0.3040 | 0.6640 | 0.3860 | -2200.1182 | -2603.7776 | -1.4289 | -1.4754 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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