mms-test

This model is a fine-tuned version of facebook/mms-300m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.4772
• 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: 0.0001
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• 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
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
7.7574	0.1060	250	4.5904	0.9965	0.9971
3.8069	0.2121	500	3.5090	0.9953	0.9959
3.6251	0.3181	750	3.4886	1.0	1.0
3.5094	0.4242	1000	3.4726	1.0	1.0
3.3305	0.5302	1250	3.4475	1.0	1.0
3.3564	0.6363	1500	3.4531	1.0	1.0
3.4263	0.7423	1750	3.4626	1.0	1.0
3.3404	0.8484	2000	3.4772	1.0	1.0

Framework versions

• Transformers 4.52.0
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.2