llama2-pycodestyle-120
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: 1.0612
- Accuracy: 0.7667
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 |
|---|---|---|---|---|
| 1.2981 | 1.0 | 15 | 1.4312 | 0.5333 |
| 0.328 | 2.0 | 30 | 1.1630 | 0.7333 |
| 0.2063 | 3.0 | 45 | 2.6427 | 0.7667 |
| 0.0437 | 4.0 | 60 | 1.7803 | 0.8333 |
| 0.0011 | 5.0 | 75 | 1.0612 | 0.7667 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 0
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model’s pipeline type.
Model tree for aholovko/llama2-pycodestyle-120
Base model
meta-llama/Llama-2-7b-hf