240719-wav2vec2-ASR-Arabs

This model is a fine-tuned version of zainulhakim/240624-wav2vec2-ASR-Arab on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.7703
• Wer: 0.3636

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: 3e-05
• 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: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	6.25	100	1.9132	0.3939
No log	12.5	200	1.7703	0.3636
No log	18.75	300	1.7241	0.4141
No log	25.0	400	1.8680	0.4343

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1