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shivam/
xls-r-hindi

Name: xls-r-hindi
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_7_0

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HI dataset. It achieves the following results on the evaluation set:

Loss: 0.4484
Wer: 1.0145

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
5.1844	3.4	500	5.2015	0.9999
3.3962	6.8	1000	3.4017	1.0002
2.5433	10.2	1500	1.6884	1.0222
1.5099	13.6	2000	0.7929	1.0188
1.2685	17.01	2500	0.6122	1.0191
1.1844	20.41	3000	0.5434	1.0197
1.0945	23.81	3500	0.5208	1.0316
1.0506	27.21	4000	0.4941	1.0139
1.0199	30.61	4500	0.4736	1.0106
0.9546	34.01	5000	0.4664	1.0164
0.9388	37.41	5500	0.4565	1.0085
0.9125	40.81	6000	0.4636	1.0148
0.8733	44.22	6500	0.4530	1.0154
0.8829	47.62	7000	0.4494	1.0152

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.17.1.dev0
Tokenizers 0.11.0

shivam/xls-r-hindi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shivam/
xls-r-hindi