ssc-aln-mms-model-mix-adapt-max

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

• Loss: 1.0180
• Cer: 0.2065
• Wer: 0.5208

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
1.0191	0.8282	200	1.1309	0.2203	0.5700
1.0289	1.6542	400	1.0621	0.2145	0.5482
0.9919	2.4803	600	1.0266	0.2151	0.5449
0.8688	3.3064	800	1.0741	0.2102	0.5312
0.8974	4.1325	1000	1.0375	0.2079	0.5253
0.8544	4.9607	1200	1.0180	0.2065	0.5208

Framework versions

• Transformers 4.57.2
• Pytorch 2.9.1+cu128
• Datasets 3.6.0
• Tokenizers 0.22.0