mistral_test
This model is a fine-tuned version of openai-community/gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rewards/chosen: nan
- Rewards/rejected: nan
- Rewards/accuracies: 0.0
- Rewards/margins: nan
- Logps/rejected: nan
- Logps/chosen: nan
- Logits/rejected: nan
- Logits/chosen: nan
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0 | 0.0 | 10 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan |
| 0.0 | 0.0 | 20 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan |
| 0.0 | 0.0 | 30 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan |
| 0.0 | 0.0 | 40 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan |
| 0.0 | 0.0 | 50 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan |
Framework versions
- Transformers 4.37.2
- Pytorch 1.11.0+cu113
- Datasets 2.17.0
- Tokenizers 0.15.1
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Base model
openai-community/gpt2