wav2vec2-xls-r-1b-ro

ubamba98/wav2vec2-xls-r-1b-ro

wav2vec2-xls-r-1b-ro is a automatic speech recognition model from ubamba98. 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: Mar 2, 2022
Updated: Mar 23, 2022
SHA: ec31f538

Datasets

mozilla-foundation/common_voice_7_0

Model card

From the Hugging Face model README

wav2vec2-xls-r-1b-ro

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - RO dataset. It achieves the following results on the evaluation set:

Loss: 0.1113
Wer: 0.4770
Cer: 0.0306

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: 3e-05
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: 2000
num_epochs: 50.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.7844	1.67	1500	0.3412	0.8600	0.0940
0.7272	3.34	3000	0.1926	0.6409	0.0527
0.6924	5.02	4500	0.1413	0.5722	0.0401
0.6327	6.69	6000	0.1252	0.5366	0.0371
0.6363	8.36	7500	0.1235	0.5741	0.0389
0.6238	10.03	9000	0.1180	0.5542	0.0362
0.6018	11.71	10500	0.1192	0.5694	0.0369
0.583	13.38	12000	0.1216	0.5772	0.0385
0.5643	15.05	13500	0.1195	0.5419	0.0371
0.5399	16.72	15000	0.1240	0.5224	0.0370
0.5529	18.39	16500	0.1174	0.5555	0.0367
0.5246	20.07	18000	0.1097	0.5047	0.0339
0.4936	21.74	19500	0.1225	0.5189	0.0382
0.4629	23.41	21000	0.1142	0.5047	0.0344
0.4463	25.08	22500	0.1168	0.4887	0.0339
0.4671	26.76	24000	0.1119	0.5073	0.0338
0.4359	28.43	25500	0.1206	0.5479	0.0363
0.4225	30.1	27000	0.1122	0.5170	0.0345
0.4038	31.77	28500	0.1159	0.5032	0.0343
0.4271	33.44	30000	0.1116	0.5126	0.0339
0.3867	35.12	31500	0.1101	0.4937	0.0327
0.3674	36.79	33000	0.1142	0.4940	0.0330
0.3607	38.46	34500	0.1106	0.5145	0.0327
0.3651	40.13	36000	0.1172	0.4921	0.0317
0.3268	41.81	37500	0.1093	0.4830	0.0310
0.3345	43.48	39000	0.1131	0.4760	0.0314
0.3236	45.15	40500	0.1132	0.4864	0.0317
0.312	46.82	42000	0.1124	0.4861	0.0315
0.3106	48.49	43500	0.1116	0.4745	0.0306

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.2.dev0
Tokenizers 0.11.0

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Languages: ro
Created: Mar 2, 2022
Updated: Mar 23, 2022