| --- |
| library_name: peft |
| license: llama3 |
| base_model: meta-llama/Meta-Llama-3-8B |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: sequence_classification |
| 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. --> |
|
|
| # sequence_classification |
| |
| This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2369 |
| - Pearson: 0.9678 |
| |
| ## 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: 0.0001 |
| - train_batch_size: 32 |
| - 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 | Pearson | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | No log | 1.0 | 206 | 0.2365 | 0.9377 | |
| | No log | 2.0 | 412 | 0.2136 | 0.9652 | |
| | 0.3209 | 3.0 | 618 | 0.2038 | 0.9631 | |
| | 0.3209 | 4.0 | 824 | 0.2379 | 0.9668 | |
| | 0.0314 | 5.0 | 1030 | 0.2369 | 0.9678 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.14.0 |
| - Transformers 4.45.2 |
| - Pytorch 2.4.0a0+f70bd71a48.nv24.06 |
| - Datasets 3.2.0 |
| - Tokenizers 0.20.3 |
