mistral-test_1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2947
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8128 | 1.36 | 2500 | 2.1855 |
| 1.7961 | 1.63 | 3000 | 2.1808 |
| 1.7701 | 1.9 | 3500 | 2.2271 |
| 1.7186 | 2.17 | 4000 | 2.2265 |
| 1.6784 | 2.44 | 4500 | 2.2547 |
| 1.6692 | 2.71 | 5000 | 2.2547 |
| 1.6752 | 2.98 | 5500 | 2.2470 |
| 1.6206 | 3.26 | 6000 | 2.2842 |
| 1.599 | 3.53 | 6500 | 2.2663 |
| 1.6054 | 3.8 | 7000 | 2.2560 |
| 1.593 | 4.07 | 7500 | 2.3039 |
| 1.5771 | 4.34 | 8000 | 2.2797 |
| 1.5636 | 4.61 | 8500 | 2.2915 |
| 1.5551 | 4.88 | 9000 | 2.2947 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2
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Model tree for Aharneish/mistral-test_1
Base model
mistralai/Mistral-7B-v0.1
Finetuned
mistralai/Mistral-7B-Instruct-v0.1