wav2vec2-large-xlsr-turkish

auditi41/wav2vec2-large-xlsr-turkish

wav2vec2-large-xlsr-turkish is a automatic speech recognition model from auditi41. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Mar 14, 2023
Updated: Mar 15, 2023
SHA: 11599fdd

Datasets

common_voice

Model card

From the Hugging Face model README

wav2vec2-large-xlsr-turkish

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: 0.4242
Wer: 0.4827

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.0376	4.26	400	2.3690	1.0020
0.7983	8.51	800	0.4755	0.6328
0.3157	12.77	1200	0.4051	0.5408
0.2197	17.02	1600	0.4156	0.5149
0.1643	21.28	2000	0.4286	0.5036
0.1305	25.53	2400	0.4247	0.4908
0.1178	29.79	2800	0.4242	0.4827

Framework versions

Transformers 4.24.0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 14, 2023
Updated: Mar 15, 2023