| | --- |
| | library_name: transformers |
| | license: llama3.2 |
| | base_model: meta-llama/Llama-3.2-3B |
| | tags: |
| | - alignment-handbook |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | datasets: |
| | - EEG123/DE_subject_2 |
| | model-index: |
| | - name: subject2-test1 |
| | 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. --> |
| |
|
| | # subject2-test1 |
| |
|
| | This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the EEG123/DE_subject_2 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.0319 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 16 |
| | - total_eval_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.3241 | 1.0 | 377 | 0.5891 | |
| | | 0.0017 | 2.0 | 754 | 1.2835 | |
| | | 0.0009 | 3.0 | 1131 | 1.0319 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.45.0.dev0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.19.1 |
| | |
