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--- |
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base_model: BramVanroy/GEITje-7B-ultra |
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datasets: |
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- BramVanroy/ultra_feedback_dutch |
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library_name: peft |
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tags: |
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- alignment-handbook |
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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: FinGEITje-7B-dpo |
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results: [] |
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language: |
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- nl |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/snoels/huggingface/runs/yng7mdb0) |
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# FinGEITje-7B-dpo |
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This model is a fine-tuned version of [/mnt/trained_models/fingeitje](https://huggingface.co//mnt/trained_models/fingeitje) 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: 0.0279 |
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- Rewards/chosen: -3.8986 |
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- Rewards/rejected: -15.9713 |
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- Rewards/accuracies: 0.9836 |
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- Rewards/margins: 12.0727 |
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- Logps/rejected: -1952.6360 |
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- Logps/chosen: -789.0983 |
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- Logits/rejected: -1.7369 |
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- Logits/chosen: -1.8936 |
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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-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 16 |
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- total_train_batch_size: 64 |
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- total_eval_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_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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| 0.1029 | 0.1327 | 100 | 0.1099 | -1.8067 | -5.3683 | 0.9679 | 3.5616 | -892.3373 | -579.9115 | -2.4775 | -2.3705 | |
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| 0.042 | 0.2654 | 200 | 0.0430 | -3.5129 | -10.6778 | 0.9828 | 7.1649 | -1423.2883 | -750.5289 | -1.9744 | -1.9895 | |
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| 0.0278 | 0.3981 | 300 | 0.0344 | -3.7335 | -13.5153 | 0.9828 | 9.7818 | -1707.0360 | -772.5893 | -1.7454 | -1.8191 | |
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| 0.0223 | 0.5308 | 400 | 0.0308 | -3.6554 | -13.7712 | 0.9858 | 10.1158 | -1732.6289 | -764.7831 | -1.8020 | -1.9184 | |
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| 0.0378 | 0.6635 | 500 | 0.0297 | -4.0018 | -16.3285 | 0.9851 | 12.3266 | -1988.3542 | -799.4221 | -1.6924 | -1.8650 | |
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| 0.0352 | 0.7962 | 600 | 0.0278 | -3.8104 | -15.6430 | 0.9836 | 11.8327 | -1919.8119 | -780.2752 | -1.7437 | -1.8978 | |
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| 0.0238 | 0.9289 | 700 | 0.0279 | -3.8974 | -15.9642 | 0.9828 | 12.0668 | -1951.9310 | -788.9780 | -1.7371 | -1.8937 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
