wav2vec2-large-mms-1b-dzo-colab-3 – AI Model by Udap10 | AlphaNeural AI

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Udap10/
wav2vec2-large-mms-1b-dzo-colab-3

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automatic-speech-recognition

generated_from_trainer

facebook/mms-1b-all

endpoints_compatible

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wav2vec2-large-mms-1b-dzo-colab-3

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

Loss: 0.5807
Wer: 0.4336

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: 0.004
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
8.6531	1.0	20	7.3871	1.0
3.365	2.0	40	3.0972	1.0
2.3227	3.0	60	1.8379	0.8684
1.1025	4.0	80	0.9537	0.6287
0.8483	5.0	100	0.7576	0.5405
0.7097	6.0	120	0.6485	0.5041
0.659	7.0	140	0.6432	0.4912
0.5759	8.0	160	0.6042	0.4853
0.5178	9.0	180	0.5881	0.4630
0.4767	10.0	200	0.5807	0.4336

Framework versions

Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0