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nikhil6041/
wav2vec2-large-xlsr-tamil-commonvoice

Name: wav2vec2-large-xlsr-tamil-commonvoice
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-large-xlsr-tamil-commonvoice

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.6145
Wer: 0.8512

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 200
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
12.0478	1.05	100	3.3867	1.0
3.2522	2.11	200	3.2770	1.0
3.1689	3.16	300	3.1135	1.0039
2.9278	4.21	400	2.0485	1.3109
1.3592	5.26	500	0.8044	1.0988
0.7472	6.32	600	0.6571	0.9474
0.5842	7.37	700	0.6079	0.9477
0.4831	8.42	800	0.6083	0.9491
0.4259	9.47	900	0.5916	0.8973
0.3817	10.53	1000	0.6070	0.9147
0.338	11.58	1100	0.5873	0.8617
0.3123	12.63	1200	0.5983	0.8844
0.287	13.68	1300	0.6146	0.8988
0.2706	14.74	1400	0.6068	0.8754
0.2505	15.79	1500	0.5996	0.8638
0.2412	16.84	1600	0.6106	0.8481
0.2176	17.89	1700	0.6152	0.8520
0.2255	18.95	1800	0.6150	0.8540
0.216	20.0	1900	0.6145	0.8512

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu102
Datasets 1.13.3
Tokenizers 0.10.3

nikhil6041/wav2vec2-large-xlsr-tamil-commonvoice

wav2vec2-large-xlsr-tamil-commonvoice

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nikhil6041/
wav2vec2-large-xlsr-tamil-commonvoice