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--- |
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license: other |
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base_model: stabilityai/stablelm-2-zephyr-1_6b |
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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: slm-2-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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# slm-2-dpo-full |
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This model is a fine-tuned version of [stabilityai/stablelm-2-zephyr-1_6b](https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 31.9894 |
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- Rewards/chosen: 0.0244 |
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- Rewards/rejected: 0.0188 |
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- Rewards/accuracies: 0.5234 |
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- Rewards/margins: 0.0057 |
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- Logps/rejected: -2491.7576 |
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- Logps/chosen: -2806.6704 |
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- Logits/rejected: -1.6239 |
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- Logits/chosen: -1.6845 |
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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: 5e-07 |
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- train_batch_size: 5 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 80 |
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- total_eval_batch_size: 64 |
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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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| 16.8403 | 0.13 | 100 | 19.5118 | 0.0256 | 0.0173 | 0.5273 | 0.0082 | -2491.9011 | -2806.5552 | -1.6068 | -1.6730 | |
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| 28.1241 | 0.26 | 200 | 32.5175 | 0.0085 | -0.0039 | 0.5234 | 0.0124 | -2494.0195 | -2808.2581 | -1.6183 | -1.6812 | |
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| 84.7591 | 0.39 | 300 | 47.8043 | 0.0297 | 0.0136 | 0.5391 | 0.0161 | -2492.2703 | -2806.1406 | -1.5968 | -1.6601 | |
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| 40.7835 | 0.52 | 400 | 30.6722 | 0.0168 | -0.0029 | 0.5547 | 0.0197 | -2493.9204 | -2807.4263 | -1.6288 | -1.6917 | |
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| 36.2204 | 0.65 | 500 | 31.2202 | 0.0303 | 0.0209 | 0.5352 | 0.0095 | -2491.5447 | -2806.0762 | -1.6236 | -1.6843 | |
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| 99.7738 | 0.78 | 600 | 33.7403 | 0.0476 | 0.0372 | 0.5391 | 0.0104 | -2489.9089 | -2804.3484 | -1.6222 | -1.6827 | |
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| 41.8506 | 0.92 | 700 | 32.9133 | 0.0301 | 0.0195 | 0.5547 | 0.0106 | -2491.6851 | -2806.1006 | -1.6211 | -1.6823 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.2.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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