wav2vec2-large-xlrs

thyungkim/wav2vec2-large-xlrs

wav2vec2-large-xlrs is a automatic speech recognition model from thyungkim. 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

301

Public

Repo size

2.5 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
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Mar 28, 2023
Updated: Mar 28, 2023
SHA: 58a38976

Model card

From the Hugging Face model README

wav2vec2-large-xlrs

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2309
Wer: 0.2314

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: 0.0001
train_batch_size: 32
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: 1000
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.6199	3.45	500	3.1926	1.0
2.5032	6.9	1000	0.6387	0.5685
0.4994	10.34	1500	0.2603	0.2971
0.2602	13.79	2000	0.2264	0.2562
0.1763	17.24	2500	0.2434	0.2450
0.1459	20.69	3000	0.2197	0.2370
0.1326	24.14	3500	0.2301	0.2333
0.1088	27.59	4000	0.2309	0.2314

Framework versions

Transformers 4.24.0
Pytorch 1.13.1+cu116
Datasets 1.18.3
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 28, 2023
Updated: Mar 28, 2023