wav2vec2-large-xlsr-53-fourth-train

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

• Loss: 1.3589
• Wer: 0.7930

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: 0.001
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.0099	2.6667	500	1.8173	0.9204
1.9544	5.3333	1000	2.1092	0.9331
1.8663	8.0	1500	1.8031	0.9236
1.6086	10.6667	2000	1.7714	0.9045
1.3908	13.3333	2500	1.4747	0.8376
1.1403	16.0	3000	1.4635	0.8217
0.9711	18.6667	3500	1.3589	0.7930

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0