Asim037
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wav22vec22-stt

Automatic Speech Recognition

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wav22vec22-stt

This model is a fine-tuned version of facebook/wav2vec2-large-960h on the lj_speech dataset. It achieves the following results on the evaluation set:

Loss: 209.9573

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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1658.3287	2.8571	50	239.6553
335.9539	5.7143	100	214.7313
279.8806	8.5714	150	209.9573

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

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Safetensors

Model size

0.3B params

Tensor type

F32

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Base model

facebook/wav2vec2-large-960h

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Dataset used to train Asim037/wav22vec22-stt