testing_pretrained_tamasheq_only

YassineBenlaria/testing_pretrained_tamasheq_only

testing_pretrained_tamasheq_only is a automatic speech recognition model from YassineBenlaria. Use it when you need speech turned into text. It is set up for transformers.

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

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At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: wav2vec2
Access: Public
Created: Sep 22, 2023
Updated: Sep 22, 2023
SHA: 06a21ddd

Model card

From the Hugging Face model README

testing_pretrained_tamasheq_only

This model is a fine-tuned version of YassineBenlaria/testing_pretrained_tamasheq_only on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.4042
Wer: 0.8037

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: 3e-05
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: 350

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.6733	35.29	300	2.7902	1.0
2.3267	70.59	600	1.7481	0.8778
1.003	105.88	900	1.8251	0.8
0.6905	141.18	1200	2.0436	0.8148
0.5074	176.47	1500	2.1611	0.8259
0.3883	211.76	1800	2.2562	0.8333
0.3431	247.06	2100	2.3761	0.8148
0.3053	282.35	2400	2.3995	0.8074
0.2898	317.65	2700	2.4042	0.8037

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
Created: Sep 22, 2023
Updated: Sep 22, 2023