wav2vec2-sah

volodya-leveryev/wav2vec2-sah

wav2vec2-sah is a automatic speech recognition model from volodya-leveryev. 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: Aug 25, 2023
Updated: Aug 25, 2023
SHA: e5593010

Base models

facebook/wav2vec2-base

Model card

From the Hugging Face model README

wav2vec2-sah

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: 0.4177
Wer: 0.4480

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.3675	4.5	500	2.2690	1.0
0.8695	9.01	1000	0.4878	0.5811
0.3469	13.51	1500	0.4021	0.4973
0.2236	18.02	2000	0.4299	0.4750
0.1685	22.52	2500	0.4266	0.4612
0.1383	27.03	3000	0.4177	0.4480

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Aug 25, 2023
Updated: Aug 25, 2023