---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Teli5

This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the [rusano/ELI5_custom](https://huggingface.co/datasets/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