wav2vec2-large-xlsr-turkish-demo-colab – AI Model by psm151 | AlphaNeural AI

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psm151/
wav2vec2-large-xlsr-turkish-demo-colab

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automatic-speech-recognition

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facebook/wav2vec2-base

endpoints_compatible

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wav2vec2-large-xlsr-turkish-demo-colab

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: 0.4659
Wer: 0.3465

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: 32
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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.4507	4.0	500	1.4016	0.9587
0.5928	8.0	1000	0.4211	0.4360
0.2228	12.0	1500	0.4629	0.3856
0.1292	16.0	2000	0.4531	0.3654
0.0898	20.0	2500	0.4969	0.3700
0.0613	24.0	3000	0.4731	0.3542
0.046	28.0	3500	0.4659	0.3465

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 1.18.3
Tokenizers 0.13.3