wav2vec2-xls-r-300m-bengali

Umong/wav2vec2-xls-r-300m-bengali

wav2vec2-xls-r-300m-bengali is a automatic speech recognition model from Umong. 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

5% of all-time downloads

All-time downloads

404

Public

Repo size

39.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.6 GB · 100%

At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: wav2vec2
Access: Public
Created: Sep 23, 2023
Updated: Sep 25, 2023
SHA: 24846f2f

Model card

From the Hugging Face model README

wav2vec2-xls-r-300m-bengali

This model is a fine-tuned version of Umong/wav2vec2-xls-r-300m-bengali on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1636
Wer: 0.0883

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.3076	0.16	400	1.5883	0.9394
0.8841	0.33	800	0.5188	0.5337
0.5896	0.49	1200	0.4029	0.4340
0.4964	0.66	1600	0.3429	0.3766
0.4553	0.82	2000	0.3196	0.3642
0.4222	0.99	2400	0.3004	0.3436
0.3709	1.15	2800	0.2812	0.3225
0.352	1.32	3200	0.2753	0.3124
0.3283	1.48	3600	0.2616	0.2979
0.3235	1.65	4000	0.2573	0.2944
0.3129	1.81	4400	0.2458	0.2809
0.306	1.98	4800	0.2344	0.2771
0.2701	2.14	5200	0.2318	0.2661
0.2653	2.31	5600	0.2253	0.2629
0.2626	2.47	6000	0.2186	0.2542
0.2541	2.63	6400	0.2074	0.2474
0.2235	2.8	6800	0.2102	0.2442
0.2185	2.96	7200	0.2019	0.2327
0.2061	3.13	7600	0.1994	0.2308
0.2011	3.29	8000	0.1942	0.2260
0.1986	3.46	8400	0.1867	0.2187
0.197	3.62	8800	0.1825	0.2177
0.1931	3.79	9200	0.1856	0.2153
0.1879	3.95	9600	0.1777	0.2088
0.1599	4.12	10000	0.1781	0.0968
0.153	4.28	10400	0.1738	0.0944
0.1475	4.45	10800	0.1713	0.0905
0.1448	4.61	11200	0.1683	0.0907
0.1445	4.78	11600	0.1649	0.0897
0.1423	4.94	12000	0.1636	0.0883

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.14.5
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
Created: Sep 23, 2023
Updated: Sep 25, 2023