wav2vec2-base-nsc-demo-5

beatrice-yap/wav2vec2-base-nsc-demo-5

wav2vec2-base-nsc-demo-5 is a automatic speech recognition model from beatrice-yap. 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: Oct 17, 2023
Updated: Oct 17, 2023
SHA: 138dec2c

Base models

facebook/wav2vec2-base-960h

Model card

From the Hugging Face model README

wav2vec2-base-nsc-demo-5

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3886
Wer: 0.1816

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: 5e-05
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: 100
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5847	4.55	100	0.3145	0.1831
0.2645	9.09	200	0.2989	0.1744
0.1705	13.64	300	0.3104	0.1847
0.1267	18.18	400	0.5592	0.1853
0.0993	22.73	500	0.3233	0.1765
0.0939	27.27	600	0.3632	0.1816
0.0731	31.82	700	0.3886	0.1816

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Oct 17, 2023
Updated: Oct 17, 2023