metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: checkpoints
    results: []

checkpoints

This model is a fine-tuned version of pszemraj/pegasus-large-book-summary on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.1193
eval_runtime: 6.6754
eval_samples_per_second: 27.714
eval_steps_per_second: 1.798
epoch: 3.0
step: 900

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: 4e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4

Framework versions

Transformers 4.16.2
Pytorch 1.10.2+cu113
Datasets 1.18.3
Tokenizers 0.11.0