wav2vec2_finetuned_on_grid – AI Model by indra3199 | AlphaNeural AI

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indra3199/
wav2vec2_finetuned_on_grid

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wav2vec2_finetuned_on_grid

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: 0.3388
Wer: 0.8007
Cer: 0.4451

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: 0.001
train_batch_size: 16
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: 500
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
7.2521	3.33	500	0.3804	0.9541	0.2804
0.7856	6.67	1000	0.3611	0.7816	0.3855
0.7404	10.0	1500	0.3604	0.7314	0.3776
0.6163	13.33	2000	0.3458	0.7854	0.4055
0.5907	16.67	2500	0.3354	0.8375	0.4511
0.6053	20.0	3000	0.3388	0.8007	0.4451

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3