llama-3-WP
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: 2.1808
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2077 | 0.4 | 200 | 2.2084 |
| 2.3065 | 0.81 | 400 | 2.1808 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.13.3
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Base model
meta-llama/Meta-Llama-3-8B