metadata
base_model: meta-llama/Llama-2-7b-hf
library_name: peft
license: llama2
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: llama2-pycodestyle-240
results: []
llama2-pycodestyle-240
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0810
- Accuracy: 0.9667
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 |
|---|---|---|---|---|
| 1.0326 | 1.0 | 30 | 0.5395 | 0.85 |
| 0.3563 | 2.0 | 60 | 0.4688 | 0.9 |
| 0.0614 | 3.0 | 90 | 0.0818 | 0.9833 |
| 0.001 | 4.0 | 120 | 0.0856 | 0.9833 |
| 0.0 | 5.0 | 150 | 0.0810 | 0.9667 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1