dpo5k2
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 6.1354
- Rewards/chosen: -37.3199
- Rewards/rejected: -114.4451
- Rewards/accuracies: 0.7599
- Rewards/margins: 77.1251
- Logps/rejected: -1316.1266
- Logps/chosen: -541.0429
- Logits/rejected: -13.2895
- Logits/chosen: -11.3220
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: 0.001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.147 | 2.5744 | 100 | 6.1354 | -37.3199 | -114.4451 | 0.7599 | 77.1251 | -1316.1266 | -541.0429 | -13.2895 | -11.3220 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1