metadata

license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
model-index:
  - name: t5_small_gloss_merged_dataset
    results: []
datasets:
  - aslg_pc12
metrics:
  - bertscore
  - bleu
  - comet
pipeline_tag: translation

t5_small_gloss_merged_dataset

This model is a fine-tuned version of t5-small on an unknown dataset.

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1