llama-text-simplification
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: 1.0017
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1586 | 1.0 | 1326 | 1.0744 |
| 1.0208 | 2.0 | 2652 | 1.0273 |
| 0.9769 | 3.0 | 3978 | 1.0112 |
| 0.947 | 4.0 | 5304 | 1.0038 |
| 0.9234 | 5.0 | 6630 | 1.0017 |
Framework versions
- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for williamplacroix/llama-text-simplification
Base model
meta-llama/Meta-Llama-3-8B