results – AI Model by ogbi | AlphaNeural AI

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automatic-speech-recognition

generated_from_trainer

facebook/mms-1b

endpoints_compatible

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results

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

Loss: 1.3647
Wer: 0.5377
Cer: 0.2651

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 13
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.4128	1.6495	40	3.2154	1.0	1.0
2.8944	3.2990	80	2.7463	0.9896	0.9891
1.5023	4.9485	120	1.4803	0.6971	0.3166
1.1458	6.5979	160	1.2789	0.5580	0.2638
0.9619	8.2474	200	1.2553	0.5639	0.2702
0.8777	9.8969	240	1.2722	0.5215	0.2633
0.7732	11.5464	280	1.3647	0.5377	0.2651

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1