metadata

base_model: LA1512/PubMed-fine-tune
tags:
  - generated_from_trainer
datasets:
  - pubmed-summarization
model-index:
  - name: results
    results: []

results

This model is a fine-tuned version of LA1512/PubMed-fine-tune on the pubmed-summarization dataset.

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
label_smoothing_factor: 0.1

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2