metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
base_model: google/long-t5-local-base
model-index:
  - name: long-t5-local-base-ILC
    results: []

long-t5-local-base-ILC

This model is a fine-tuned version of google/long-t5-local-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Rouge1: 0.1592
Rouge2: 0.0004
Rougel: 0.1506
Rougelsum: 0.1581
Gen Len: 299.0

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: 4e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	515	nan	0.1592	0.0004	0.1506	0.1581	299.0

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2