model_output_e10
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1035
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1363 | 0.0954 | 500 | 2.1193 |
| 1.7864 | 0.1908 | 1000 | 2.1035 |
| 1.5126 | 0.2862 | 1500 | 2.1698 |
| 1.2379 | 0.3815 | 2000 | 2.2744 |
| 0.9729 | 0.4769 | 2500 | 2.3314 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3
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Model tree for Heejindo/model_output_e10
Base model
meta-llama/Llama-3.2-1B