xlsr53-coraa-2

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

• Loss: 1.1755
• Wer: 0.4003
• Cer: 0.1804

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
1.5566	1.0	3000	1.1274	0.4251	0.1955
1.02	2.0	6000	1.1293	0.4247	0.1925
1.4261	3.0	9000	1.1418	0.4299	0.1946
1.0087	4.0	12000	1.0708	0.4238	0.1881
1.9648	5.0	15000	1.1212	0.4173	0.1870
1.2052	6.0	18000	1.1291	0.4158	0.1857
1.1325	7.0	21000	1.1334	0.4084	0.1836
0.7304	8.0	24000	1.1657	0.4077	0.1814
1.1339	9.0	27000	1.1396	0.4053	0.1820
0.4781	10.0	30000	1.1755	0.4003	0.1805
1.0246	11.0	33000	1.1920	0.4027	0.1808
0.9689	12.0	36000	1.1900	0.4014	0.1797

Framework versions

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