xlsr53-cv-2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2400
• Wer: 0.1520
• Cer: 0.0660

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: 1e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.2155	1.0	5000	0.1988	0.1662	0.0726
0.1053	2.0	10000	0.1969	0.1623	0.0710
0.2772	3.0	15000	0.2024	0.1620	0.0712
0.1327	4.0	20000	0.2116	0.1602	0.0692
0.1293	5.0	25000	0.2174	0.1603	0.0701
0.296	6.0	30000	0.2189	0.1619	0.0706
0.1406	7.0	35000	0.2288	0.1586	0.0687
0.1125	8.0	40000	0.2341	0.1549	0.0679
0.116	9.0	45000	0.2326	0.1551	0.0678
0.173	10.0	50000	0.2392	0.1563	0.0677
0.0998	11.0	55000	0.2380	0.1537	0.0666
0.0478	12.0	60000	0.2400	0.1521	0.0661

Framework versions

• Transformers 4.55.2
• Pytorch 2.7.0+cu126
• Datasets 2.19.1
• Tokenizers 0.21.4