05a9f7dd-900b-4001-b2ea-acd57578d12c
This model is a fine-tuned version of Eurdem/Defne_llama3_2x8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5818
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: 0.000206
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0003 | 1 | 2.4653 |
| 1.8497 | 0.0142 | 50 | 1.8087 |
| 1.8626 | 0.0284 | 100 | 2.0875 |
| 1.7585 | 0.0426 | 150 | 1.7172 |
| 1.503 | 0.0568 | 200 | 2.5064 |
| 1.9315 | 0.0711 | 250 | 1.7083 |
| 1.6444 | 0.0853 | 300 | 2.0619 |
| 1.8748 | 0.0995 | 350 | 1.6251 |
| 1.8836 | 0.1137 | 400 | 1.6406 |
| 1.9295 | 0.1279 | 450 | 1.5842 |
| 2.1817 | 0.1421 | 500 | 1.5818 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso06/05a9f7dd-900b-4001-b2ea-acd57578d12c
Base model
Eurdem/Defne_llama3_2x8B