wav2vec2-turkish-300m

tgrhn/wav2vec2-turkish-300m

wav2vec2-turkish-300m is a automatic speech recognition model from tgrhn. 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: Apr 3, 2024
Updated: Apr 4, 2024
SHA: a3ac6354

Base models

facebook/wav2vec2-xls-r-300m

Datasets

common_voice_16_1

Model card

From the Hugging Face model README

wav2vec-turkish-1b

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.2368
Wer: 0.2462

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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.9325	0.29	400	0.6568	0.7114
0.5559	0.58	800	0.4940	0.5587
0.4528	0.88	1200	0.4380	0.5008
0.3921	1.17	1600	0.3801	0.4465
0.3669	1.46	2000	0.3550	0.4367
0.3463	1.75	2400	0.3619	0.4440
0.323	2.05	2800	0.3476	0.4118
0.2872	2.34	3200	0.3208	0.3960
0.2836	2.63	3600	0.3069	0.3842
0.2728	2.92	4000	0.3072	0.3679
0.2486	3.21	4400	0.3287	0.3833
0.2347	3.51	4800	0.3266	0.3781
0.2309	3.8	5200	0.3005	0.3650
0.2202	4.09	5600	0.2916	0.3489
0.206	4.38	6000	0.2975	0.3390
0.1971	4.67	6400	0.2901	0.3377
0.1938	4.97	6800	0.2612	0.3188
0.1788	5.26	7200	0.2676	0.3183
0.169	5.55	7600	0.2691	0.3140
0.167	5.84	8000	0.2658	0.3099
0.1551	6.14	8400	0.2643	0.2986
0.1437	6.43	8800	0.2667	0.2998
0.1407	6.72	9200	0.2579	0.2955
0.1344	7.01	9600	0.2415	0.2820
0.122	7.3	10000	0.2476	0.2776
0.1205	7.6	10400	0.2555	0.2745
0.1169	7.89	10800	0.2400	0.2660
0.1071	8.18	11200	0.2537	0.2630
0.1041	8.47	11600	0.2466	0.2638
0.0994	8.77	12000	0.2413	0.2582
0.0925	9.06	12400	0.2340	0.2527
0.0877	9.35	12800	0.2393	0.2515
0.0859	9.64	13200	0.2418	0.2489
0.0847	9.93	13600	0.2368	0.2462

Framework versions

Transformers 4.38.2
Pytorch 2.2.2+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Apr 3, 2024
Updated: Apr 4, 2024