Mistral_12B_CSAT_0.5
This model is a fine-tuned version of nbeerbower/mistral-nemo-wissenschaft-12B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9048
- Accuracy: 0.8291
- F1: 0.8310
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5828 | 0.1683 | 300 | 0.8905 | 0.8141 | 0.8153 |
| 1.0418 | 0.3365 | 600 | 0.9473 | 0.8241 | 0.8256 |
| 0.2862 | 0.5048 | 900 | 0.7215 | 0.8191 | 0.8228 |
| 0.3758 | 0.6730 | 1200 | 0.8167 | 0.8241 | 0.8255 |
| 0.5865 | 0.8413 | 1500 | 0.9048 | 0.8291 | 0.8310 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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