wav2vec2-large-mms-1b-thai-colab

Aomsin/wav2vec2-large-mms-1b-thai-colab

wav2vec2-large-mms-1b-thai-colab is a automatic speech recognition model from Aomsin. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.

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

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: cc-by-nc-4.0
Model type: wav2vec2
Access: Public
Created: Oct 17, 2023
Updated: Oct 18, 2023
SHA: 46a87d7e

Base models

facebook/mms-1b-all

Datasets

common_voice_6_1

Model card

From the Hugging Face model README

wav2vec2-large-mms-1b-thai-colab

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_6_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.2452
Wer: 0.7234

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: 0.001
train_batch_size: 8
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: 100
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
8.0794	0.17	100	0.3832	0.8329
0.561	0.33	200	0.3162	0.8099
0.5132	0.5	300	0.2907	0.7842
0.5015	0.66	400	0.2954	0.7998
0.5126	0.83	500	0.2812	0.7924
0.5182	0.99	600	0.2782	0.7631
0.4459	1.16	700	0.2735	0.7526
0.4694	1.32	800	0.2716	0.7628
0.4576	1.49	900	0.2649	0.7538
0.4749	1.65	1000	0.2614	0.7503
0.4282	1.82	1100	0.2687	0.7464
0.4009	1.98	1200	0.2622	0.7480
0.3976	2.15	1300	0.2619	0.7421
0.4306	2.31	1400	0.2620	0.7538
0.4413	2.48	1500	0.2551	0.7515
0.3888	2.64	1600	0.2545	0.7339
0.4213	2.81	1700	0.2541	0.7316
0.3945	2.98	1800	0.2507	0.7246
0.3765	3.14	1900	0.2495	0.7234
0.3859	3.31	2000	0.2498	0.7269
0.3931	3.47	2100	0.2469	0.7250
0.3737	3.64	2200	0.2470	0.7242
0.3716	3.8	2300	0.2454	0.7219
0.3582	3.97	2400	0.2452	0.7234

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: cc-by-nc-4.0
Created: Oct 17, 2023
Updated: Oct 18, 2023