---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: mt5-base-multi_news
  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-multi_news

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2565

## 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: 0.001
- 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.8534        | 1.0   | 5622  | 3.5584          |
| 3.58          | 2.0   | 11244 | 3.3606          |
| 3.4904        | 3.0   | 16866 | 3.3078          |
| 3.4461        | 4.0   | 22488 | 3.2863          |
| 3.408         | 5.0   | 28110 | 3.2724          |
| 3.3951        | 6.0   | 33732 | 3.2642          |
| 3.3854        | 7.0   | 39354 | 3.2602          |
| 3.3731        | 8.0   | 44976 | 3.2577          |
| 3.3803        | 9.0   | 50598 | 3.2563          |
| 3.3755        | 10.0  | 56220 | 3.2565          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2