metadata

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

t5-asr-CV16

This model is a fine-tuned version of 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