wav2vec2-base-timit-demo-colab – AI Model by samantharhay | AlphaNeural AI

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wav2vec2-base-timit-demo-colab

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wav2vec2-base-timit-demo-colab

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2368
Wer: 0.8655

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: 1e-05
train_batch_size: 32
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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
10.7111	4.0	500	6.1429	1.0
4.8905	8.0	1000	6.0597	1.0
3.4516	12.0	1500	3.0125	1.0
2.9895	16.0	2000	2.9629	1.0
2.9155	20.0	2500	2.4479	1.0
2.3186	24.0	3000	1.5888	0.9565
1.8469	28.0	3500	1.2368	0.8655

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3