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Sania67/
Fine_Tunning_on_CV_dataset

Name: Fine_Tunning_on_CV_dataset
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice_8_0

apache-2.0

endpoints_compatible

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Fine_Tunning_on_CV_dataset

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.7892
Wer: 0.4734

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: 0.0001
train_batch_size: 8
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: 1000
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.8618	3.25	1000	3.0765	0.9989
1.6825	6.49	2000	0.8932	0.6292
0.7813	9.74	3000	0.7750	0.5454
0.5859	12.99	4000	0.7413	0.5151
0.472	16.23	5000	0.7559	0.4952
0.404	19.48	6000	0.7677	0.4915
0.3637	22.73	7000	0.7788	0.4863
0.3238	25.97	8000	0.7920	0.4738
0.3038	29.22	9000	0.7892	0.4734

Framework versions

Transformers 4.21.0
Pytorch 1.11.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Sania67/Fine_Tunning_on_CV_dataset

Fine_Tunning_on_CV_dataset

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sania67/
Fine_Tunning_on_CV_dataset