whisper-medium-pt

CheeLi03/whisper-medium-pt

whisper-medium-pt is a machine learning model from CheeLi03. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: apache-2.0
Model type: whisper
Access: Public
Created: Oct 15, 2024
Updated: Oct 15, 2024
SHA: 25e0b204

Base models

openai/whisper-medium

Datasets

fleurs

Model card

From the Hugging Face model README

Whisper Medium Portuguese 6000 - Chee Li

This model is a fine-tuned version of openai/whisper-medium on the Google Fleurs dataset. It achieves the following results on the evaluation set:

Loss: 0.2240
Wer: 6.3984

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0071	5.0251	1000	0.1866	6.2479
0.0004	10.0503	2000	0.2069	6.3091
0.0002	15.0754	3000	0.2203	6.3561
0.0002	20.1005	4000	0.2240	6.3984

Framework versions

Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: whisper
License: apache-2.0
Languages: pt
Created: Oct 15, 2024
Updated: Oct 15, 2024