wav2vec2-base-timit-demo-colab971 – AI Model by hassnain | AlphaNeural AI

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wav2vec2-base-timit-demo-colab971

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wav2vec2-base-timit-demo-colab971

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: 0.6551
Wer: 0.4448

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: 2
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
4.9461	1.77	500	3.2175	1.0
2.5387	3.53	1000	1.2239	0.7851
0.9632	5.3	1500	0.7275	0.6352
0.6585	7.07	2000	0.6218	0.5896
0.4875	8.83	2500	0.5670	0.5651
0.397	10.6	3000	0.5796	0.5487
0.3298	12.37	3500	0.5870	0.5322
0.2816	14.13	4000	0.5796	0.5016
0.2396	15.9	4500	0.5956	0.5040
0.2019	17.67	5000	0.5911	0.4847
0.1845	19.43	5500	0.6050	0.4800
0.1637	21.2	6000	0.6518	0.4927
0.1428	22.97	6500	0.6247	0.4645
0.1319	24.73	7000	0.6592	0.4711
0.1229	26.5	7500	0.6526	0.4556
0.1111	28.27	8000	0.6551	0.4448

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3