revised_ft_wav2vec2_base_thirty

ImanNalia1/revised_ft_wav2vec2_base_thirty

revised_ft_wav2vec2_base_thirty is a automatic speech recognition model from ImanNalia1. 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: May 6, 2024
Updated: May 7, 2024
SHA: 7e81e892

Base models

facebook/wav2vec2-base

Model card

From the Hugging Face model README

revised_ft_wav2vec2_base_thirty

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7407
Wer: 99.8829
Cer: 98.8775

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: 0.0001
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: 2000
training_steps: 4500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.5435	3.5088	1000	2.7750	99.9040	98.9988
0.885	7.0175	2000	0.6658	33.7675	14.7845
0.391	10.5263	3000	0.6526	29.5786	13.3104
0.2561	14.0351	4000	0.6522	27.3708	12.2904

Framework versions

Transformers 4.40.2
Pytorch 1.12.1+cu116
Datasets 2.19.1
Tokenizers 0.19.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 6, 2024
Updated: May 7, 2024