base_sami_22k_cont_pt_ftpseudo_wr25esp5

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1150.1907
• Wer: 1.0
• Cer: 1.0

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: 0.0005
• train_batch_size: 16
• eval_batch_size: 8
• 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_ratio: 0.25
• num_epochs: 20.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
4573.469	1.0	1080	1150.0875	1.0	1.0
3561.5266	2.0	2160	1153.8236	1.0	1.0
3604.4681	3.0	3240	1157.7269	1.0	1.0
3641.2648	4.0	4320	1146.7615	1.0	1.0
3689.1912	5.0	5400	1146.6725	1.0	1.0
3582.5692	6.0	6480	1147.8068	1.0	1.0

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1
• Datasets 3.2.0
• Tokenizers 0.21.0