---
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/mt5-small
model-index:
- name: results_mt5small
  results: []
---

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# nep-spell-hf
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0114

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0285        | 6.6   | 6000  | 0.0167          |
| 0.0155        | 13.2  | 12000 | 0.0132          |
| 0.0124        | 19.8  | 18000 | 0.0118          |
| 0.0099        | 26.4  | 24000 | 0.0114          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0