ali-issa/FYP_ARABIC

wav2vec2-arabic-gpu-colab-similar-to-german-bigger-warm-up

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6370
• Wer: 0.4146

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 6
• total_train_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5000
• num_epochs: 40
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
9.4958	2.83	400	3.4822	1.0
3.2281	5.67	800	2.9404	1.0
2.942	8.51	1200	2.8690	1.0
2.6346	11.35	1600	1.5452	0.9994
1.3472	14.18	2000	0.8261	0.6853
0.8972	17.02	2400	0.6812	0.5737
0.6924	19.85	2800	0.6552	0.5291
0.5687	22.69	3200	0.6108	0.4909
0.4734	25.53	3600	0.5877	0.4674
0.4029	28.37	4000	0.6204	0.4662
0.3483	31.2	4400	0.5932	0.4451
0.307	34.04	4800	0.6445	0.4392
0.2722	36.88	5200	0.6126	0.4292
0.2247	39.71	5600	0.6370	0.4146

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 1.18.3
• Tokenizers 0.10.3