results
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3976
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4486 | 0.0 | 1 | 1.4197 |
| 1.3118 | 0.0 | 2 | 1.4156 |
| 1.479 | 0.0 | 3 | 1.4118 |
| 1.2823 | 0.01 | 4 | 1.4085 |
| 1.3239 | 0.01 | 5 | 1.4056 |
| 1.3008 | 0.01 | 6 | 1.4030 |
| 1.4906 | 0.01 | 7 | 1.4009 |
| 1.278 | 0.01 | 8 | 1.3992 |
| 1.3363 | 0.01 | 9 | 1.3981 |
| 1.351 | 0.02 | 10 | 1.3976 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
mistralai/Mistral-7B-v0.1