whisper_large_v2_to_myst_cmu

rishabhjain16/whisper_large_v2_to_myst_cmu

whisper_large_v2_to_myst_cmu is a automatic speech recognition model from rishabhjain16. 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

2% of all-time downloads

All-time downloads

230

Public

Repo size

30.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin6.2 GB · 100%

At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Feb 15, 2023
Updated: Feb 15, 2023
SHA: 7a71924b

Model card

From the Hugging Face model README

openai/whisper-large-v2

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: 0.2381
Wer: 11.1244

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: 32
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
0.3639	0.12	500	0.2512	12.9597
0.1931	0.25	1000	0.2123	12.1414
0.329	1.08	1500	0.2064	11.5818
0.097	1.21	2000	0.2050	10.9775
0.0522	2.04	2500	0.2258	10.4390
0.1026	2.17	3000	0.2201	11.7017
0.0448	3.0	3500	0.2287	10.3873
0.0455	3.13	4000	0.2381	11.1244

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.9.1.dev0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Feb 15, 2023
Updated: Feb 15, 2023