ctrlv-wav2vec2-tokenizer

proseph/ctrlv-wav2vec2-tokenizer

ctrlv-wav2vec2-tokenizer is a automatic speech recognition model from proseph. 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: Apr 20, 2022
Updated: Apr 20, 2022
SHA: ad6a9da2

Model card

From the Hugging Face model README

ctrlv-wav2vec2-tokenizer

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: 0.3967
Wer: 0.3138

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.4359	3.45	500	1.3595	0.9159
0.5692	6.9	1000	0.4332	0.4036
0.2198	10.34	1500	0.4074	0.3678
0.1314	13.79	2000	0.3480	0.3409
0.0929	17.24	2500	0.3714	0.3346
0.0692	20.69	3000	0.3977	0.3224
0.0542	24.14	3500	0.4068	0.3187
0.0422	27.59	4000	0.3967	0.3138

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Apr 20, 2022
Updated: Apr 20, 2022