firstcolab3

Thanapon1998/firstcolab3

firstcolab3 is a automatic speech recognition model from Thanapon1998. 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. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Nov 24, 2022
Updated: Nov 25, 2022
SHA: 24e4a5ca

Datasets

common_voice_11_0

Model card

From the Hugging Face model README

firstcolab3

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2756
Wer: 0.6226
Cer: 0.0535

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
7.187	0.75	1000	3.7705	1.0	1.0
2.0277	1.5	2000	0.6139	0.9202	0.1545
0.8368	2.24	3000	0.4351	0.8589	0.1147
0.6772	2.99	4000	0.3762	0.8200	0.0990
0.5702	3.74	5000	0.3434	0.7889	0.0891
0.5205	4.49	6000	0.3427	0.7726	0.0855
0.4773	5.24	7000	0.3073	0.7408	0.0767
0.4389	5.98	8000	0.2969	0.7421	0.0759
0.4069	6.73	9000	0.2884	0.7134	0.0711
0.3858	7.48	10000	0.2952	0.7066	0.0699
0.36	8.23	11000	0.2846	0.6902	0.0662
0.3517	8.98	12000	0.2729	0.6756	0.0638
0.3265	9.72	13000	0.2844	0.6756	0.0645
0.3127	10.47	14000	0.2769	0.6803	0.0640
0.3016	11.22	15000	0.2772	0.6566	0.0618
0.2855	11.97	16000	0.2791	0.6540	0.0598
0.2699	12.72	17000	0.2714	0.6455	0.0589
0.264	13.46	18000	0.2782	0.6472	0.0588
0.2518	14.21	19000	0.2693	0.6398	0.0578
0.2498	14.96	20000	0.2761	0.6300	0.0561
0.2426	15.71	21000	0.2796	0.6366	0.0561
0.2271	16.45	22000	0.2804	0.6336	0.0554
0.2271	17.2	23000	0.2758	0.6347	0.0552
0.22	17.95	24000	0.2785	0.6279	0.0544
0.2143	18.7	25000	0.2783	0.6246	0.0538
0.2134	19.45	26000	0.2756	0.6226	0.0535

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Nov 24, 2022
Updated: Nov 25, 2022