whisper_25syl_tiny_v1_3_1

albertuspekerti/whisper_25syl_tiny_v1_3_1

whisper_25syl_tiny_v1_3_1 is a automatic speech recognition model from albertuspekerti. 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. --

Downloads · 30 days

11% of all-time downloads

All-time downloads

Public

Parameters

37.8M

604 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors151 MB · 99%

At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Jul 19, 2024
Updated: Jul 19, 2024
SHA: de4bcb16

Base models

openai/whisper-tiny

Model card

From the Hugging Face model README

whisper_25syl_tiny_v1_3_1

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

Loss: 0.0059
Wer: 0.6304

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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0025	0.2461	1000	0.0193	1.8427
0.0025	0.4922	2000	0.0065	0.8244
0.0022	0.7384	3000	0.0041	0.5404
0.0021	0.9845	4000	0.0062	0.7274
0.0002	1.2306	5000	0.0059	0.6304

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Jul 19, 2024
Updated: Jul 19, 2024