You can deploy this model and start earning money today!

anuragshas/
wav2vec2-xls-r-300m-ur-cv9-with-lm

Name: wav2vec2-xls-r-300m-ur-cv9-with-lm
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_9_0

generated_from_trainer

mozilla-foundation/common_voice_9_0

apache-2.0

model-index

endpoints_compatible

Views

No views yet

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_9_0 - UR dataset. It achieves the following results on the evaluation set:

Loss: 0.4147
Wer: 0.3172
Cer: 0.1050

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: 7.5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 5108
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.2894	7.83	400	3.1501	1.0	1.0
1.8586	15.68	800	0.8871	0.6721	0.2402
1.3431	23.52	1200	0.5813	0.5502	0.1939
1.2052	31.37	1600	0.4956	0.4788	0.1665
1.1097	39.21	2000	0.4447	0.4143	0.1397
1.0528	47.06	2400	0.4439	0.3961	0.1333
0.9939	54.89	2800	0.4348	0.4014	0.1379
0.9441	62.74	3200	0.4236	0.3653	0.1223
0.913	70.58	3600	0.4309	0.3475	0.1157
0.8678	78.43	4000	0.4270	0.3337	0.1110
0.8414	86.27	4400	0.4158	0.3220	0.1070
0.817	94.12	4800	0.4185	0.3231	0.1072

Framework versions

Transformers 4.19.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.1.1.dev0
Tokenizers 0.12.1

anuragshas/wav2vec2-xls-r-300m-ur-cv9-with-lm

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

anuragshas/
wav2vec2-xls-r-300m-ur-cv9-with-lm