| | --- |
| | library_name: peft |
| | license: llama3.1 |
| | base_model: meta-llama/Llama-3.1-8B |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: final_llama_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. --> |
| |
|
| | # final_llama_sequence_classification |
| | |
| | This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3186 |
| | - Pearson: 0.9547 |
| | |
| | ## 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 | 199 | 0.2257 | 0.9396 | |
| | | No log | 2.0 | 398 | 0.2395 | 0.9477 | |
| | | 0.3036 | 3.0 | 597 | 0.2262 | 0.9606 | |
| | | 0.3036 | 4.0 | 796 | 0.2997 | 0.9515 | |
| | | 0.3036 | 5.0 | 995 | 0.3186 | 0.9547 | |
| | |
| | |
| | ### 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 |
