metadata

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_4
model-index:
  - name: subject4-test1
    results: []

subject4-test1

This model is a fine-tuned version of meta-llama/Llama-3.2-3B on the EEG123/DE_subject_4 dataset. It achieves the following results on the evaluation set:

Loss: 0.9546

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.0819	1.0	377	0.2675
0.0089	2.0	754	0.9546

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1