revised_ft_wav2vec2_base_six_1000

ImanNalia1/revised_ft_wav2vec2_base_six_1000

revised_ft_wav2vec2_base_six_1000 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 7, 2024
SHA: 4b387854

Base models

facebook/wav2vec2-base

Model card

From the Hugging Face model README

revised_ft_wav2vec2_base_six_1000

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: 1.1179
Wer: 57.9258
Cer: 25.3159

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
3.2301	18.5185	1000	1.1192	57.1980	25.0173
0.4544	37.0370	2000	1.1278	42.9675	19.9377
0.1702	55.5556	3000	1.2664	40.7060	18.8307
0.0902	74.0741	4000	1.2946	39.2168	18.2196

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 5, 2024
Updated: May 7, 2024