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kapilkd13/
xls-r-hi-test

Name: xls-r-hi-test
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_7_0

robust-speech-event

generated_from_trainer

hf-asr-leaderboard

mozilla-foundation/common_voice_7_0

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: 0.7346
Wer: 1.0479

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.36	400	1.4595	1.0039
4.7778	2.71	800	0.8082	1.0115
0.6408	4.07	1200	0.7032	1.0079
0.3937	5.42	1600	0.6889	1.0433
0.3	6.78	2000	0.6820	1.0069
0.3	8.14	2400	0.6670	1.0196
0.226	9.49	2800	0.7216	1.0422
0.197	10.85	3200	0.7669	1.0534
0.165	12.2	3600	0.7517	1.0200
0.1486	13.56	4000	0.7125	1.0357
0.1486	14.92	4400	0.7447	1.0347
0.122	16.27	4800	0.6899	1.0440
0.1069	17.63	5200	0.7212	1.0350
0.0961	18.98	5600	0.7417	1.0408
0.086	20.34	6000	0.7402	1.0356
0.086	21.69	6400	0.7761	1.0420
0.0756	23.05	6800	0.7346	1.0369
0.0666	24.41	7200	0.7506	1.0449
0.0595	25.76	7600	0.7319	1.0476
0.054	27.12	8000	0.7346	1.0479

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.18.3
Tokenizers 0.11.0

kapilkd13/xls-r-hi-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kapilkd13/
xls-r-hi-test