library_name, base_model, tags, metrics, model-index
| library_name | base_model | tags | metrics | model-index | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | meta-llama/Meta-Llama-3-8B |
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dict
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6060
- Accuracy: 0.4585
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: 40
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7536 | 0.6439 | 500 | 3.6060 | 0.4585 |
| 0.3454 | 1.2878 | 1000 | 3.9088 | 0.4632 |
| 0.2247 | 1.9317 | 1500 | 3.9477 | 0.4596 |
| 0.1506 | 2.5757 | 2000 | 4.0823 | 0.4569 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1