wav2vec2-fleur-mms-batch6-epoch24-finetunning-3 – AI Model by Nachuwu | AlphaNeural AI

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wav2vec2-fleur-mms-batch6-epoch24-finetunning-3

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automatic-speech-recognition

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Nachuwu/wav2vec2-fleur-mms-batch6-epoch16

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wav2vec2-fleur-mms-batch6-epoch24-finetunning-3

This model is a fine-tuned version of Nachuwu/wav2vec2-fleur-mms-batch6-epoch16 on the audiofolder dataset. It achieves the following results on the evaluation set:

Loss: 1.3000
Wer: 0.6017

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: 6
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 24
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.4497	2.38	100	1.6988	0.7297
1.3991	4.76	200	1.3838	0.6394
1.2352	7.14	300	1.3424	0.6124
1.1687	9.52	400	1.3295	0.6138
1.1241	11.9	500	1.3126	0.6067
1.0908	14.29	600	1.3162	0.6031
1.0824	16.67	700	1.3059	0.6017
1.0512	19.05	800	1.3027	0.5989
1.0258	21.43	900	1.2990	0.6031
1.0376	23.81	1000	1.3000	0.6017

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0