math-mistral-7b-r32-e2
This model is a fine-tuned version of meta-math/MetaMath-Mistral-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4721
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: 4e-06
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2585 | 0.26 | 1000 | 0.4719 |
| 0.3487 | 0.52 | 2000 | 0.4713 |
| 0.4357 | 0.78 | 3000 | 0.4721 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.14.1
Model tree for khiepm209/math-mistral-7b-r32-e2
Base model
meta-math/MetaMath-Mistral-7B