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shivam/
xls-r-300m-hindi

Name: xls-r-300m-hindi
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_8_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_8_0 - HI dataset. It achieves the following results on the evaluation set:

Loss: 0.8111
Wer: 0.5177

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
4.9733	2.59	500	5.0697	1.0
3.3839	5.18	1000	3.3518	1.0
2.0596	7.77	1500	1.3992	0.7869
1.6102	10.36	2000	1.0712	0.6754
1.4587	12.95	2500	0.9280	0.6361
1.3667	15.54	3000	0.9281	0.6155
1.3042	18.13	3500	0.9037	0.5921
1.2544	20.73	4000	0.8996	0.5824
1.2274	23.32	4500	0.8934	0.5797
1.1763	25.91	5000	0.8643	0.5760
1.149	28.5	5500	0.8251	0.5544
1.1207	31.09	6000	0.8506	0.5527
1.091	33.68	6500	0.8370	0.5366
1.0613	36.27	7000	0.8345	0.5352
1.0495	38.86	7500	0.8380	0.5321
1.0345	41.45	8000	0.8285	0.5269
1.0297	44.04	8500	0.7836	0.5141
1.027	46.63	9000	0.8120	0.5180
0.9876	49.22	9500	0.8109	0.5188

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu113
Datasets 1.18.1.dev0
Tokenizers 0.11.0

shivam/xls-r-300m-hindi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shivam/
xls-r-300m-hindi