pytorch tensorboard mt5 text2text-generation transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-base_2
  results: []
---

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# mt5-base_2

This model is a fine-tuned version of [obokkkk/mt5-base](https://huggingface.co/obokkkk/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1742
- Bleu: 9.479
- Gen Len: 16.9226

## 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: 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  | 1.1834          | 9.3761 | 16.9129 |
| No log        | 2.0   | 366  | 1.1791          | 9.422  | 16.9334 |
| 1.3969        | 3.0   | 549  | 1.1764          | 9.4432 | 16.9082 |
| 1.3969        | 4.0   | 732  | 1.1749          | 9.461  | 16.9157 |
| 1.3969        | 5.0   | 915  | 1.1742          | 9.479  | 16.9226 |


### Framework versions

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