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

# umt5-base-asr

This model is a fine-tuned version of [google/umt5-base](https://huggingface.co/google/umt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 61.5938
- Wer: 1.0

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 1024
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 9.5449        | 0.9994 | 99   | 73.375          | 1.0    |
| 9.1592        | 1.9893 | 198  | 37.5625         | 1.0023 |
| 9.0479        | 2.9792 | 297  | 63.2812         | 1.0    |
| 8.3572        | 3.9691 | 396  | 41.375          | 1.0    |
| 8.6292        | 4.9590 | 495  | 61.5938         | 1.0    |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.5.1+cu124
- Datasets 2.17.1
- Tokenizers 0.21.0