hello_2b_2

patrickvonplaten/hello_2b_2

hello_2b_2 is a automatic speech recognition model from patrickvonplaten. 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. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: wav2vec2
Access: Public
Created: Mar 2, 2022
Updated: Nov 4, 2021
SHA: bafcbc64

Datasets

common_voice

Model card

From the Hugging Face model README

hello_2b_2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-2b on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

Loss: 0.5324
Wer: 0.5109

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: 5e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.3543	0.92	100	3.4342	1.0
3.0521	1.85	200	3.1243	1.0
1.4905	2.77	300	1.1760	0.9876
0.5852	3.7	400	0.7678	0.7405
0.4442	4.63	500	0.7637	0.7179
0.3816	5.55	600	0.7114	0.6726
0.2923	6.48	700	0.7109	0.6837
0.2771	7.4	800	0.6800	0.6530
0.1643	8.33	900	0.6031	0.6089
0.2931	9.26	1000	0.6467	0.6308
0.1495	10.18	1100	0.6042	0.6085
0.2093	11.11	1200	0.5850	0.5889
0.1329	12.04	1300	0.5557	0.5567
0.1005	12.96	1400	0.5964	0.5814
0.2162	13.88	1500	0.5692	0.5626
0.0923	14.81	1600	0.5508	0.5462
0.075	15.74	1700	0.5477	0.5307
0.2029	16.66	1800	0.5501	0.5300
0.0985	17.59	1900	0.5350	0.5303
0.1674	18.51	2000	0.5429	0.5241
0.1305	19.44	2100	0.5645	0.5443
0.0774	20.37	2200	0.5313	0.5216
0.1372	21.29	2300	0.5644	0.5392
0.1095	22.22	2400	0.5577	0.5306
0.0958	23.15	2500	0.5461	0.5273
0.0544	24.07	2600	0.5290	0.5055
0.0579	24.99	2700	0.5295	0.5150
0.1213	25.92	2800	0.5311	0.5221
0.0691	26.85	2900	0.5228	0.5095
0.1729	27.77	3000	0.5340	0.5095
0.0697	28.7	3100	0.5334	0.5139
0.0734	29.63	3200	0.5323	0.5140

Framework versions

Transformers 4.13.0.dev0
Pytorch 1.10.0
Datasets 1.15.2.dev0
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
Languages: tr
Created: Mar 2, 2022
Updated: Nov 4, 2021