metadata
base_model: meta-llama/Meta-Llama-3-8B
library_name: peft
license: llama3
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: llama3-pycodestyle-240
results: []
llama3-pycodestyle-240
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: 0.8531
- Accuracy: 0.9333
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Accuracy |
|---|---|---|---|---|
| 1.2276 | 1.0 | 30 | 0.3347 | 0.95 |
| 0.2803 | 2.0 | 60 | 0.4334 | 0.9667 |
| 0.0534 | 3.0 | 90 | 0.3419 | 0.9667 |
| 0.0521 | 4.0 | 120 | 0.4979 | 0.9333 |
| 0.0002 | 5.0 | 150 | 0.8531 | 0.9333 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1