metadata

base_model: ./checkpoints/checkpoint-13800
tags:
  - generated_from_trainer
model-index:
  - name: Teli5
    results: []
datasets:
  - rusano/ELI5_custom
  - rusano/ELI5_custom_encoded
language:
  - en
metrics:
  - glue
library_name: transformers
pipeline_tag: question-answering

Teli5

This model is a fine-tuned version of google/t5-v1_1-base on the rusano/ELI5_custom 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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.13.1
Tokenizers 0.13.3