wav2vec2-base-mscd1 – AI Model by saribalgar | AlphaNeural AI

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saribalgar/
wav2vec2-base-mscd1

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wav2vec2-base-mscd1

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: 1.8065
Wer: 0.3824

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: 300
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.6008	41.67	500	4.7974	1.0
1.2892	83.33	1000	1.7488	0.5
0.1991	125.0	1500	1.3122	0.4412
0.109	166.67	2000	1.3265	0.3235
0.071	208.33	2500	1.1280	0.3529
0.0508	250.0	3000	1.6514	0.3529
0.0365	291.67	3500	1.8065	0.3824

Framework versions

Transformers 4.24.0
Pytorch 2.0.0+cu118
Datasets 1.18.3
Tokenizers 0.13.3