metadata

license: bsd-3-clause
base_model: LA1512/led-pubmed-20K-ORC-4096-epoch2
tags:
  - generated_from_trainer
model-index:
  - name: results
    results: []

results

This model is a fine-tuned version of LA1512/led-pubmed-20K-ORC-4096-epoch2 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 3.4086
eval_rouge1: 43.6834
eval_rouge2: 14.2497
eval_rougeL: 21.4191
eval_rougeLsum: 38.1401
eval_gen_len: 307.546
eval_runtime: 28723.4999
eval_samples_per_second: 0.017
eval_steps_per_second: 0.009
step: 0

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: 3e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
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: 400
num_epochs: 1
label_smoothing_factor: 0.1

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2