metadata

license: apache-2.0
base_model: hyesunyun/update-summarization-bart-large-longformer
tags:
  - generated_from_trainer
model-index:
  - name: longformer-pubmed-20k
    results: []

longformer-pubmed-20k

This model is a fine-tuned version of hyesunyun/update-summarization-bart-large-longformer on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1843

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-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.3306	0.75	500	1.1843

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2