| --- |
| library_name: peft |
| license: llama3.1 |
| base_model: meta-llama/Llama-3.1-8B-Instruct |
| tags: |
| - base_model:adapter:meta-llama/Llama-3.1-8B-Instruct |
| - lora |
| - transformers |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: llama3-section-classifier |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # llama3-section-classifier |
|
|
| This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1236 |
| - Accuracy: 0.6536 |
| - Precision: 0.6613 |
| - Recall: 0.6536 |
| - F1: 0.6553 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 32 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | 9.6616 | 1.0 | 310 | 1.1046 | 0.6464 | 0.6476 | 0.6464 | 0.6244 | |
| | 7.0864 | 2.0 | 620 | 1.0653 | 0.64 | 0.6520 | 0.64 | 0.6414 | |
| | 4.771 | 3.0 | 930 | 1.1236 | 0.6536 | 0.6613 | 0.6536 | 0.6553 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.17.1 |
| - Transformers 4.57.1 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
