wav2vec2-base-commonvoice-demo-colab-2 – AI Model by chrisvinsen | AlphaNeural AI

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chrisvinsen/
wav2vec2-base-commonvoice-demo-colab-2

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wav2vec2-base-commonvoice-demo-colab-2

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: nan
Wer: 1.0

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: 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
4.7784	2.58	500	2.9962	1.0
3.0067	5.15	1000	3.0303	1.0
3.0098	7.73	1500	3.0305	1.0
3.0015	10.31	2000	3.0308	1.0
3.0062	12.89	2500	3.0310	1.0
3.0074	15.46	3000	3.0311	1.0
3.0085	18.04	3500	3.0313	1.0
3.0046	20.62	4000	3.0314	1.0
3.0065	23.2	4500	nan	1.0
0.0	25.77	5000	nan	1.0
0.0	28.35	5500	nan	1.0

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3