math_ft
This model is a fine-tuned version of PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5111
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- 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: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0364 | 0.9655 | 7 | 0.7955 |
| 0.7271 | 1.9310 | 14 | 0.6199 |
| 0.604 | 2.8966 | 21 | 0.5675 |
| 0.4951 | 4.0 | 29 | 0.5419 |
| 0.5483 | 4.9655 | 36 | 0.5294 |
| 0.531 | 5.9310 | 43 | 0.5218 |
| 0.5217 | 6.8966 | 50 | 0.5168 |
| 0.4511 | 8.0 | 58 | 0.5131 |
| 0.5083 | 8.9655 | 65 | 0.5115 |
| 0.4632 | 9.6552 | 70 | 0.5111 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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