gpt2-dpo-dutch
This model is a fine-tuned version of pkarypis/gpt2-sft-dutch on the BramVanroy/ultra_feedback_dutch dataset. It achieves the following results on the evaluation set:
- Loss: 0.6936
- Rewards/chosen: 0.0022
- Rewards/rejected: -0.0016
- Rewards/accuracies: 0.5172
- Rewards/margins: 0.0038
- Logps/rejected: -1243.3655
- Logps/chosen: -1947.5537
- Logits/rejected: -3.7675
- Logits/chosen: -3.4617
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.2
- Datasets 3.0.0
- Tokenizers 0.19.1
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