AsrTaskModel – AI Model by hamees | AlphaNeural AI

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hamees/
AsrTaskModel

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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AsrTaskModel

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4220
Wer: 0.2541

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0261	0.5556	500	3.1243	0.9989
1.1139	1.1111	1000	0.9005	0.5382
0.8059	1.6667	1500	0.6447	0.3916
0.5712	2.2222	2000	0.5581	0.3395
0.5164	2.7778	2500	0.4805	0.2998
0.3958	3.3333	3000	0.4717	0.2820
0.4108	3.8889	3500	0.4494	0.2692
0.3403	4.4444	4000	0.4507	0.2588
0.3087	5.0	4500	0.4220	0.2541

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1