revised_ft_wav2vec2_base_six_500

ImanNalia1/revised_ft_wav2vec2_base_six_500

revised_ft_wav2vec2_base_six_500 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 5, 2024
Updated: May 5, 2024
SHA: 7d072e95

Base models

facebook/wav2vec2-base

Model card

From the Hugging Face model README

revised_ft_wav2vec2_base_six_500

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

Loss: 2.9206
Wer: 100.0
Cer: 99.9853

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
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
4.2117	11.3636	500	2.9404	100.0	99.9283
2.4735	22.7273	1000	1.3017	66.1384	30.0075
0.6303	34.0909	1500	1.1357	49.3524	22.2609
0.2796	45.4545	2000	1.2368	45.0409	21.3033

Framework versions

Transformers 4.40.1
Pytorch 1.12.1+cu116
Datasets 2.19.0
Tokenizers 0.19.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 5, 2024
Updated: May 5, 2024