mms-1bl1107-tenakichwa-120

This model is a fine-tuned version of facebook/mms-1b-l1107 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2002
• Cer: 0.0571

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• 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: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
2.3699	6.6723	400	0.5899	0.1454
0.7405	13.3361	800	0.4014	0.1038
0.5809	20.0	1200	0.2816	0.0806
0.4731	26.6723	1600	0.2002	0.0571

Framework versions

• Transformers 4.48.2
• Pytorch 2.5.1+cu124
• Datasets 3.3.0
• Tokenizers 0.21.0