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Siyam/
SKYLy

Name: SKYLy
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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SKYLy

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: 0.7645
Wer: 0.4083

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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.4215	4.26	400	1.6323	0.9857
0.5716	8.51	800	0.6679	0.5107
0.1721	12.77	1200	0.6935	0.4632
0.1063	17.02	1600	0.7533	0.4432
0.0785	21.28	2000	0.7208	0.4255
0.0608	25.53	2400	0.7481	0.4117
0.0493	29.79	2800	0.7645	0.4083

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 2.1.0
Tokenizers 0.10.3

Siyam/SKYLy

SKYLy

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Siyam/
SKYLy