wav2vec2-finetuned-wolofdata2

mohamedlamine/wav2vec2-finetuned-wolofdata2

wav2vec2-finetuned-wolofdata2 is a automatic speech recognition model from mohamedlamine. 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: Feb 28, 2023
Updated: Feb 28, 2023
SHA: aba2000a

Model card

From the Hugging Face model README

wav2vec2-finetuned-wolofdata2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1969
Wer: 0.1897

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: 300
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
12.9468	0.75	100	4.0058	1.0
3.3471	1.49	200	3.1350	1.0
3.014	2.24	300	2.4949	0.9997
1.5935	2.99	400	0.8807	0.72
0.7567	3.73	500	0.4770	0.47
0.4514	4.48	600	0.3082	0.3003
0.2778	5.22	700	0.2297	0.2244
0.2062	5.97	800	0.1969	0.1897

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Feb 28, 2023
Updated: Feb 28, 2023