metadata

library_name: transformers
license: other
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: medicalQA_1b_4
    results: []

medicalQA_1b_4

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the MedQA2 and the Med_int_data datasets. It achieves the following results on the evaluation set:

Loss: 1.9075

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: 5e-07
train_batch_size: 4
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.6521	0.6254	500	1.9213

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 2.21.0
Tokenizers 0.20.3