---
library_name: transformers
license: apache-2.0
base_model: google/umt5-small
tags:
- generated_from_trainer
model-index:
- name: t5-asr-CV16
  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. -->

# t5-asr-CV16

This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.6296
- eval_wer: 0.8576
- eval_runtime: 86.6124
- eval_samples_per_second: 98.531
- eval_steps_per_second: 3.083
- epoch: 2.9929
- step: 900

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- 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_ratio: 0.1
- num_epochs: 10

### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 2.17.1
- Tokenizers 0.21.0