wav2vec2-base-librispeech

tlsalfm820/wav2vec2-base-librispeech

wav2vec2-base-librispeech is a automatic speech recognition model from tlsalfm820. 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: Jun 20, 2023
Updated: Jun 27, 2023
SHA: adfb4de1

Model card

From the Hugging Face model README

wav2vec2-base-librispeech

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: 0.2162
Wer: 0.1419

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: 64
eval_batch_size: 32
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.606	4.13	500	2.0411	0.7943
0.3862	8.26	1000	0.3058	0.2202
0.1253	12.4	1500	0.2450	0.1908
0.0794	16.53	2000	0.2152	0.1531
0.0566	20.66	2500	0.2012	0.1457
0.0446	24.79	3000	0.2061	0.1432
0.0363	28.93	3500	0.2162	0.1419

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Jun 20, 2023
Updated: Jun 27, 2023