train_2025-04-18-12-01-41
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the myself dataset. It achieves the following results on the evaluation set:
- Loss: 1.2590
- Num Input Tokens Seen: 5421296
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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 1.3374 | 0.4 | 100 | 1.3061 | 1086960 |
| 1.3909 | 0.8 | 200 | 1.2780 | 2169920 |
| 1.3721 | 1.2 | 300 | 1.2654 | 3249536 |
| 1.2345 | 1.6 | 400 | 1.2597 | 4339360 |
| 1.2265 | 2.0 | 500 | 1.2590 | 5421296 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B