---
library_name: transformers
language:
- bn
license: apache-2.0
base_model: google/umt5-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Elite_Enigmas/google/umt5-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. -->

# Elite_Enigmas/google/umt5-base

This model is a fine-tuned version of [google/umt5-base](https://huggingface.co/google/umt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0961
- Wer: 0.2812

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 7.4871        | 4.0   | 4000  | 2.0314          | 1.2812 |
| 0.9487        | 8.0   | 8000  | 1.0738          | 0.3125 |
| 0.4547        | 12.0  | 12000 | 1.0961          | 0.2812 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0