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HouraMor/
wav2vec2-large-children-ft-20-05

Name: wav2vec2-large-children-ft-20-05
Availability: InStock

tensorboard

safetensors

wav2vec2

generated_from_trainer

jonatasgrosman/wav2vec2-large-english

finetune

apache-2.0

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wav2vec2-large-children-ft-20-05

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-english on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7848
Wer: 0.0
Cer: 0.0

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: 1e-05
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
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9179	0.21	1000	0.8394
1.0977	0.42	2000	0.7726
0.7693	0.62	3000	0.8626
0.7192	0.83	4000	0.7675
0.7302	1.04	5000	0.7848

Framework versions

Transformers 4.39.3
Pytorch 2.1.1+cu118
Datasets 3.5.1
Tokenizers 0.15.2

HouraMor/wav2vec2-large-children-ft-20-05

wav2vec2-large-children-ft-20-05

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HouraMor/
wav2vec2-large-children-ft-20-05