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Robinjmf/
wav2vec2-common_voice-tr-output

Name: wav2vec2-common_voice-tr-output
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

common_voice

generated_from_trainer

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wav2vec2-common_voice-tr-output

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

Loss: 0.3776
Wer: 0.3243

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: 500
num_epochs: 20.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.92	100	3.6020	1.0
No log	1.83	200	2.9971	0.9999
No log	2.75	300	0.9174	0.7772
No log	3.67	400	0.5668	0.6356
3.1619	4.59	500	0.4949	0.5256
3.1619	5.5	600	0.4516	0.4744
3.1619	6.42	700	0.4291	0.4575
3.1619	7.34	800	0.4330	0.4273
3.1619	8.26	900	0.4016	0.4145
0.2261	9.17	1000	0.4214	0.4005
0.2261	10.09	1100	0.4093	0.3946
0.2261	11.01	1200	0.4051	0.3917
0.2261	11.93	1300	0.3908	0.3719
0.2261	12.84	1400	0.3850	0.3603
0.1119	13.76	1500	0.3967	0.3645
0.1119	14.68	1600	0.3821	0.3526
0.1119	15.6	1700	0.3919	0.3519
0.1119	16.51	1800	0.3763	0.3366
0.1119	17.43	1900	0.3682	0.3349
0.074	18.35	2000	0.3753	0.3323
0.074	19.27	2100	0.3753	0.3267

Framework versions

Transformers 4.28.1
Pytorch 1.12.1+cu102
Datasets 2.12.0
Tokenizers 0.13.3

Robinjmf/wav2vec2-common_voice-tr-output

wav2vec2-common_voice-tr-output

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Robinjmf/
wav2vec2-common_voice-tr-output