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Sameen53/
facebook_large_CV_bn3

Name: facebook_large_CV_bn3
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

common_voice

endpoints_compatible

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facebook_large_CV_bn3

This model is a fine-tuned version of Sameen53/facebook_large_CV_bn on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.2308
Wer: 0.2379

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: 5e-05
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: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.87	1000	0.2473	0.2524
0.2308	1.73	2000	0.2073	0.2450
0.261	2.6	3000	0.2036	0.2345
0.2498	3.47	4000	0.1916	0.2311
0.2433	4.33	5000	0.1869	0.2344
0.2588	5.2	6000	0.2308	0.2379

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Sameen53/facebook_large_CV_bn3

facebook_large_CV_bn3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sameen53/
facebook_large_CV_bn3