WMCA1-S2.1

This model is a fine-tuned version of 7ocho/WMCA1-S2.0 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3061
• Wer: 57.8039

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: 8.5e-06
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• 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: cosine
• lr_scheduler_warmup_steps: 200
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3770	0.7380	1000	0.3256	58.3922
0.3566	1.4760	2000	0.3061	57.8039

Framework versions

• Transformers 5.2.0
• Pytorch 2.10.0+cu128
• Datasets 3.6.0
• Tokenizers 0.22.2