sft-mistral-v1
This model is a fine-tuned version of kam414/pre-train-mistral-v2-full on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2212
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.2
- training_steps: 60
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9676 | 0.5 | 10 | 1.4137 |
| 1.3178 | 1.0 | 20 | 1.2463 |
| 1.071 | 1.5 | 30 | 1.2405 |
| 1.0554 | 2.0 | 40 | 1.2212 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for kam414/sft-mistral-v1
Base model
kam414/pre-train-mistral-v2-full