llama3b_kg
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5372
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: 4
- eval_batch_size: 4
- seed: 100
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5562 | 1.0 | 244 | 0.5502 |
| 0.4486 | 2.0 | 488 | 0.5304 |
| 0.3791 | 3.0 | 732 | 0.5372 |
Framework versions
- PEFT 0.15.2.dev0
- Transformers 4.50.3
- Pytorch 2.3.0+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for Kamyar-zeinalipour/llama3b_kg
Base model
meta-llama/Llama-3.2-3B-Instruct