wav2vec2-base-timit-demo-colab

thyungkim/wav2vec2-base-timit-demo-colab

wav2vec2-base-timit-demo-colab is a automatic speech recognition model from thyungkim. 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: Mar 20, 2023
Updated: Mar 28, 2023
SHA: b6216589

Model card

From the Hugging Face model README

wav2vec2-base-timit-demo-colab

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: 0.3958
Wer: 0.2801

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
3.4101	3.45	500	1.0402	0.7472
0.5156	6.9	1000	0.4003	0.3554
0.1906	10.34	1500	0.4068	0.3158
0.114	13.79	2000	0.3930	0.3049
0.0791	17.24	2500	0.4465	0.3020
0.0578	20.69	3000	0.3998	0.2905
0.0451	24.14	3500	0.4089	0.2874
0.0375	27.59	4000	0.3958	0.2801

Framework versions

Transformers 4.24.0
Pytorch 1.13.1+cu116
Datasets 1.18.3
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 20, 2023
Updated: Mar 28, 2023