wav2vec2-hbtest-2

sriiikar/wav2vec2-hbtest-2

wav2vec2-hbtest-2 is a automatic speech recognition model from sriiikar. 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 5, 2022
Updated: Jun 5, 2022
SHA: 4565886b

Model card

From the Hugging Face model README

wav2vec2-hbtest-2

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 5.9927
Wer: 1.1562

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.6105	6.41	1000	4.9969	1.2600
0.3723	12.82	2000	5.1370	1.1185
0.1537	19.23	3000	5.5541	1.1419
0.0992	25.64	4000	5.9309	1.1269
0.0722	32.05	5000	5.9545	1.1628
0.0593	38.46	6000	5.9927	1.1562

Framework versions

Transformers 4.20.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.2.3.dev0
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Jun 5, 2022
Updated: Jun 5, 2022