metadata

license: apache-2.0
base_model: allenai/led-base-16384
tags:
  - generated_from_trainer
model-index:
  - name: my_awesome_billsum_model
    results: []

my_awesome_billsum_model

This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.7927
eval_rouge1: 0.1895
eval_rouge2: 0.0969
eval_rougeL: 0.1641
eval_rougeLsum: 0.1692
eval_gen_len: 20.0
eval_runtime: 47.5253
eval_samples_per_second: 5.218
eval_steps_per_second: 1.052
epoch: 2.0
step: 396

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: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0