whisper-large-v2-paper_

hts98/whisper-large-v2-paper_

whisper-large-v2-paper_ is a automatic speech recognition model from hts98. 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: Jun 22, 2023
Updated: Jun 22, 2023
SHA: 4cf5280a

Model card

From the Hugging Face model README

whisper-large-v2-paper_

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4133
Wer: 47.7467

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: 2e-05
train_batch_size: 24
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
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	143	0.3626	71.8596
No log	2.0	286	0.3398	50.4925
No log	3.0	429	0.3426	52.2600
0.3684	4.0	572	0.3541	46.2800
0.3684	5.0	715	0.3721	46.6114
0.3684	6.0	858	0.4133	47.7467

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.7.0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Jun 22, 2023
Updated: Jun 22, 2023