wav2vec2-large-asr-th

DylanonWic/wav2vec2-large-asr-th

wav2vec2-large-asr-th is a automatic speech recognition model from DylanonWic. Use it when you need speech turned into text. It is set up for transformers.

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

Downloads · 30 days

2% of all-time downloads

All-time downloads

823

Public

Repo size

195 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.3 GB · 100%

At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: wav2vec2
Access: Public
Created: Feb 3, 2023
Updated: Mar 7, 2023
SHA: abab6993

Model card

From the Hugging Face model README

wav2vec2-large-asr-th

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4214
Wer: 0.3708
Cer: 0.1236

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: 0.0002
train_batch_size: 24
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.6395	0.86	500	0.5238	0.4279	0.1463
0.4942	1.71	1000	0.5227	0.4188	0.1404
0.4195	2.57	1500	0.4984	0.4019	0.1344
0.514	3.42	2000	0.4713	0.3828	0.1305
0.4964	4.28	2500	0.4490	0.3780	0.1261
0.5175	5.14	3000	0.4214	0.3708	0.1236

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
Created: Feb 3, 2023
Updated: Mar 7, 2023