metadata

license: apache-2.0
base_model: openai/whisper-base
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-base-google-fleurs-pt-br
    results: []

whisper-base-google-fleurs-pt-br

This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6283
Wer: 25.9071

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: 2.5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 120
training_steps: 2400
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0871	2.72	400	0.4838	24.4078
0.0066	5.44	800	0.5647	25.5452
0.0013	8.16	1200	0.5981	25.6110
0.0008	10.88	1600	0.6143	25.6533
0.0006	13.61	2000	0.6245	25.7661
0.0006	16.33	2400	0.6283	25.9071

Framework versions

Transformers 4.36.2
Pytorch 2.1.1
Datasets 2.16.1
Tokenizers 0.15.0