---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-base
  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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2760
- Bleu: 8.6707
- Gen Len: 16.9319

## 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
- gradient_accumulation_steps: 256
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 183  | 1.4997          | 6.2141 | 17.0073 |
| No log        | 2.0   | 366  | 1.3718          | 7.4647 | 16.9205 |
| 1.9408        | 3.0   | 549  | 1.3184          | 8.1938 | 16.8962 |
| 1.9408        | 4.0   | 732  | 1.2857          | 8.5265 | 16.9167 |
| 1.9408        | 5.0   | 915  | 1.2760          | 8.6707 | 16.9319 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1