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--- |
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license: cc-by-nc-4.0 |
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base_model: BramVanroy/GEITje-ultra-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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- BramVanroy/ultra_feedback_dutch |
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model-index: |
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- name: GEITje-ultra-dpo-5e-7lr-128tbs-0.1b |
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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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# GEITje-ultra-dpo-5e-7lr-128tbs-0.1b |
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This model is a fine-tuned version of [BramVanroy/GEITje-ultra-sft](https://huggingface.co/BramVanroy/GEITje-ultra-sft) on the BramVanroy/ultra_feedback_dutch dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0138 |
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- Rewards/chosen: -2.1351 |
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- Rewards/rejected: -13.8922 |
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- Rewards/accuracies: 0.9950 |
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- Rewards/margins: 11.7570 |
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- Logps/rejected: -565.1809 |
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- Logps/chosen: -519.8008 |
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- Logits/rejected: -3.0261 |
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- Logits/chosen: -2.9779 |
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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: 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: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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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: 1.0 |
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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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| 0.03 | 0.22 | 100 | 0.0260 | -0.9740 | -9.8635 | 0.9913 | 8.8895 | -524.8940 | -508.1891 | -3.0753 | -3.0315 | |
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| 0.0184 | 0.44 | 200 | 0.0164 | -1.7162 | -12.4772 | 0.9926 | 10.7610 | -551.0317 | -515.6115 | -3.0349 | -2.9873 | |
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| 0.0121 | 0.66 | 300 | 0.0142 | -2.0575 | -13.6818 | 0.9938 | 11.6244 | -563.0778 | -519.0242 | -3.0325 | -2.9835 | |
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| 0.0198 | 0.88 | 400 | 0.0139 | -2.1431 | -13.8857 | 0.9950 | 11.7426 | -565.1163 | -519.8801 | -3.0293 | -2.9801 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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