wav2vec2-common_voice-tr-mms-demo

patrickvonplaten/wav2vec2-common_voice-tr-mms-demo

wav2vec2-common_voice-tr-mms-demo is a automatic speech recognition model from patrickvonplaten. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.

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

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: cc-by-nc-4.0
Model type: wav2vec2
Access: Public
Created: Jun 14, 2023
Updated: Jun 14, 2023
SHA: c92acbc3

Datasets

common_voice

Model card

From the Hugging Face model README

wav2vec2-common_voice-tr-mms-demo

This model is a fine-tuned version of facebook/mms-1b-all on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

Loss: 0.1532
Wer: 0.2267

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: 0.001
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: 100
num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.92	100	0.1822	0.2605
No log	1.83	200	0.1620	0.2389
No log	2.75	300	0.1581	0.2318
No log	3.67	400	0.1535	0.2270

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: cc-by-nc-4.0
Languages: tr
Created: Jun 14, 2023
Updated: Jun 14, 2023