Mistral_StereoDetect_Model
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3143
- Pearson: 0.9660
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|---|---|---|---|---|
| No log | 1.0 | 190 | 0.2906 | 0.9143 |
| No log | 2.0 | 380 | 0.2797 | 0.9360 |
| 0.4128 | 3.0 | 570 | 0.2969 | 0.9513 |
| 0.4128 | 4.0 | 760 | 0.3159 | 0.9646 |
| 0.4128 | 5.0 | 950 | 0.3143 | 0.9660 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 4.0.0
- Tokenizers 0.22.0
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Base model
mistralai/Mistral-7B-v0.3