mms-1b-all-bemgen-combined-m50f50-dnn-52-0.00

This model is a fine-tuned version of facebook/mms-1b-all on the BEMGEN - DEB dataset. It achieves the following results on the evaluation set:

• Loss: 13.1598
• Cer: 2.7357

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: 0.0003
• train_batch_size: 8
• eval_batch_size: 4
• seed: 52
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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: 30.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
14.0271	0.8439	100	13.1600	2.7345
12.7106	1.6835	200	13.1600	2.7350
15.4000	2.5232	300	13.1600	2.7346
10.4097	3.3629	400	13.1598	2.7343
14.9313	4.2025	500	13.1597	2.7348
13.3089	5.0422	600	13.1599	2.7346
14.9388	5.8861	700	13.1600	2.7344
15.7328	6.7257	800	13.1600	2.7347

Framework versions

• Transformers 4.53.0
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.4