wav2vec2-base-timit-demo-colab90 – AI Model by hassnain | AlphaNeural AI

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wav2vec2-base-timit-demo-colab90

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wav2vec2-base-timit-demo-colab90

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6766
Wer: 0.4479

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: 60
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.0217	7.04	500	3.2571	1.0
1.271	14.08	1000	0.6501	0.5874
0.4143	21.13	1500	0.5943	0.5360
0.2446	28.17	2000	0.6285	0.5028
0.1653	35.21	2500	0.6553	0.4992
0.1295	42.25	3000	0.6735	0.4705
0.1033	49.3	3500	0.6792	0.4539
0.0886	56.34	4000	0.6766	0.4479

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3