library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| transformers | llama3 | ytu-ce-cosmos/Turkish-Llama-8b-v0.1 |
|
|
turkish-llama-MSFT-0.7
This model is a fine-tuned version of ytu-ce-cosmos/Turkish-Llama-8b-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3326
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 46
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4866 | 0.4921 | 90 | 0.4801 |
| 0.3473 | 0.9843 | 180 | 0.3459 |
| 0.2589 | 1.4757 | 270 | 0.3362 |
| 0.2526 | 1.9679 | 360 | 0.3326 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2