wav2vec2-large-mms-1b-turkish-colab

eguladida/wav2vec2-large-mms-1b-turkish-colab

wav2vec2-large-mms-1b-turkish-colab is a automatic speech recognition model from eguladida. 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. --

Downloads · 30 days

26% of all-time downloads

All-time downloads

Public

Parameters

965M

11.6 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors3.9 GB · 100%

At a glance

Task: Automatic Speech Recognition
Library: transformers
License: cc-by-nc-4.0
Model type: wav2vec2
Access: Public
Created: Aug 26, 2024
Updated: Aug 26, 2024
SHA: 7837fb9a

Base models

facebook/mms-1b-all

Datasets

common_voice_6_1

Model card

From the Hugging Face model README

wav2vec2-large-mms-1b-turkish-colab

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_6_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.1543
Wer: 0.2189

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.7641	0.9174	100	0.1816	0.2462
0.2844	1.8349	200	0.1667	0.2366
0.2668	2.7523	300	0.1576	0.2257
0.243	3.6697	400	0.1543	0.2189

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: cc-by-nc-4.0
Created: Aug 26, 2024
Updated: Aug 26, 2024