whisper-test-1

uaremine/whisper-test-1

whisper-test-1 is a automatic speech recognition model from uaremine. Use it when you need speech turned into text. It is set up for transformers. 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

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Mar 21, 2024
Updated: Mar 28, 2024
SHA: 0b260b78

Base models

openai/whisper-base

Model card

From the Hugging Face model README

whisper-test-1

This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4129
Cer: 29.7003

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: 48
eval_batch_size: 24
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	Cer
0.2285	8.33	500	0.6509	25.5488
0.0148	16.67	1000	0.7623	28.2401
0.0022	25.0	1500	0.8702	26.6749
0.0004	33.33	2000	1.0062	28.1924
0.0	41.67	2500	1.1586	28.5551
0.0	50.0	3000	1.2983	29.0704
0.0	58.33	3500	1.3890	29.3758
0.0	66.67	4000	1.4129	29.7003

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Mar 21, 2024
Updated: Mar 28, 2024