wav2vec2-base-mscd1

saribalgar/wav2vec2-base-mscd1

wav2vec2-base-mscd1 is a automatic speech recognition model from saribalgar. 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 12, 2023
Updated: Apr 12, 2023
SHA: f29203f7

Model card

From the Hugging Face model README

wav2vec2-base-mscd1

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: 1.8065
Wer: 0.3824

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: 8
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: 300
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.6008	41.67	500	4.7974	1.0
1.2892	83.33	1000	1.7488	0.5
0.1991	125.0	1500	1.3122	0.4412
0.109	166.67	2000	1.3265	0.3235
0.071	208.33	2500	1.1280	0.3529
0.0508	250.0	3000	1.6514	0.3529
0.0365	291.67	3500	1.8065	0.3824

Framework versions

Transformers 4.24.0
Pytorch 2.0.0+cu118
Datasets 1.18.3
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Apr 12, 2023
Updated: Apr 12, 2023