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Trifon/
wav2vec2-large-xlsr-53-demo-colab

Name: wav2vec2-large-xlsr-53-demo-colab
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-large-xlsr-53-demo-colab

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.4253
Wer: 0.4880

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.2135	4.21	400	2.5232	1.0
0.8323	8.42	800	0.4673	0.6142
0.3247	12.63	1200	0.4087	0.5536
0.217	16.84	1600	0.3950	0.5237
0.166	21.05	2000	0.4294	0.5075
0.141	25.26	2400	0.4219	0.4944
0.1193	29.47	2800	0.4253	0.4880

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu102
Datasets 2.1.0
Tokenizers 0.12.1

Trifon/wav2vec2-large-xlsr-53-demo-colab

wav2vec2-large-xlsr-53-demo-colab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Trifon/
wav2vec2-large-xlsr-53-demo-colab