---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: mt5-base-bcoqa
  results: []
---

<!-- 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. -->

# mt5-base-bcoqa

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0503

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7933        | 0.1   | 3500  | 1.4891          |
| 1.594         | 0.2   | 7000  | 1.3193          |
| 1.4983        | 0.3   | 10500 | 1.2550          |
| 1.4311        | 0.4   | 14000 | 1.2163          |
| 1.4343        | 0.5   | 17500 | 1.1723          |
| 1.3635        | 0.61  | 21000 | 1.1518          |
| 1.3782        | 0.71  | 24500 | 1.1331          |
| 1.3782        | 0.81  | 28000 | 1.1126          |
| 1.3091        | 0.91  | 31500 | 1.1197          |
| 1.2328        | 1.01  | 35000 | 1.0967          |
| 1.2605        | 1.11  | 38500 | 1.0892          |
| 1.183         | 1.21  | 42000 | 1.0872          |
| 1.1713        | 1.31  | 45500 | 1.0963          |
| 1.2369        | 1.41  | 49000 | 1.0696          |
| 1.2542        | 1.51  | 52500 | 1.0672          |
| 1.2226        | 1.61  | 56000 | 1.0608          |
| 1.2013        | 1.72  | 59500 | 1.0538          |
| 1.1776        | 1.82  | 63000 | 1.0516          |
| 1.191         | 1.92  | 66500 | 1.0503          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1