mistral_instruct_generation_tr
This model is a fine-tuned version of malhajar/Mistral-7B-Instruct-v0.2-turkish on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.0124
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: 0.03
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3331 | 0.1198 | 20 | 0.1119 |
| 0.0341 | 0.2395 | 40 | 0.0257 |
| 0.0207 | 0.3593 | 60 | 0.0180 |
| 0.0192 | 0.4790 | 80 | 0.0137 |
| 0.0139 | 0.5988 | 100 | 0.0124 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
malhajar/Mistral-7B-Instruct-v0.2-turkish