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zainulhakim/
240624-wav2vec2-ASR-Arab

Name: 240624-wav2vec2-ASR-Arab
Availability: InStock

transformers

safetensors

wav2vec2

automatic-speech-recognition

generated_from_trainer

apache-2.0

endpoints_compatible

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240624-wav2vec2-ASR-Arab

This model is a fine-tuned version of zainulhakim/240615-wav2vec2-ASR-Arabs on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6706
Wer: 0.9697

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: 5
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
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	6.25	100	2.5459	1.0
No log	12.5	200	1.4102	1.0
No log	18.75	300	1.6706	0.9697

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1

zainulhakim/240624-wav2vec2-ASR-Arab

240624-wav2vec2-ASR-Arab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zainulhakim/
240624-wav2vec2-ASR-Arab