Class_model_05_03_24
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9520
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.4292 | 0.19 | 500 | 1.2701 |
1.2246 | 0.39 | 1000 | 1.1661 |
1.1653 | 0.58 | 1500 | 1.1125 |
1.1084 | 0.78 | 2000 | 1.0656 |
1.0489 | 0.97 | 2500 | 1.0200 |
0.9198 | 1.17 | 3000 | 1.0009 |
0.8925 | 1.36 | 3500 | 0.9776 |
0.8667 | 1.55 | 4000 | 0.9642 |
0.8646 | 1.75 | 4500 | 0.9528 |
0.8408 | 1.94 | 5000 | 0.9520 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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