tiai-pinch
This model is a fine-tuned version of mistral-community/pixtral-12b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0189
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: 1
- eval_batch_size: 1
- 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: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0031 | 2.0 | 128 | 0.0149 |
| 0.038 | 4.0 | 256 | 0.0132 |
| 0.0001 | 6.0 | 384 | 0.0375 |
| 0.0 | 8.0 | 512 | 0.0189 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for couragestrong/tiai-pinch-adapter-1228-01
Base model
mistral-community/pixtral-12b