logs
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: 1.1291
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9560 | 19 | 1.6214 |
| 1.8609 | 1.9623 | 39 | 1.4791 |
| 1.5247 | 2.9686 | 59 | 1.3896 |
| 1.4173 | 3.9748 | 79 | 1.3052 |
| 1.4173 | 4.9811 | 99 | 1.2385 |
| 1.3272 | 5.9874 | 119 | 1.1894 |
| 1.248 | 6.9937 | 139 | 1.1540 |
| 1.2 | 8.0 | 159 | 1.1351 |
| 1.1843 | 8.9560 | 178 | 1.1295 |
| 1.1843 | 9.5597 | 190 | 1.1291 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ranystephan/logs
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ