wav2vec2-large-teacher-en-asr-timit – AI Model by marifulhaque | AlphaNeural AI

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marifulhaque/
wav2vec2-large-teacher-en-asr-timit

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wav2vec2-large-teacher-en-asr-timit

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

Loss: 0.4160
Wer: 0.2984

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: 64
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
4.4952	3.17	200	3.0555	1.0
2.5341	6.35	400	0.8144	0.7441
0.694	9.52	600	0.4154	0.4572
0.3593	12.7	800	0.4260	0.3890
0.2567	15.87	1000	0.4166	0.3614
0.1988	19.05	1200	0.3912	0.3346
0.1338	22.22	1400	0.4000	0.3178
0.1044	25.4	1600	0.4425	0.3071
0.0786	28.57	1800	0.4160	0.2984

Framework versions

Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 1.18.3
Tokenizers 0.13.2