120min_wav2vec_xls-r53_FT_5e-5

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

• Loss: 0.9644
• Wer: 0.7345
• Cer: 0.2463

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• 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: 300
• num_epochs: 12
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Cer	Validation Loss	Wer
No log	1.5267	50	0.3764	1.5241	0.9142
1.5958	3.0534	100	0.3288	1.2169	0.8792
1.5958	4.5802	150	0.2977	1.1076	0.8363
1.1902	6.1069	200	0.2766	1.0394	0.8007
1.1902	7.6336	250	0.2638	1.0228	0.7689
0.9987	9.1603	300	0.2533	0.9808	0.7466
0.9987	10.8931	350	0.9644	0.7345	0.2463

Framework versions

• Transformers 4.41.1
• Pytorch 2.9.0+cu128
• Datasets 4.0.0
• Tokenizers 0.19.1