Fined_Tuned_Whisper_Model

NadiaHolmlund/Fined_Tuned_Whisper_Model

Fined_Tuned_Whisper_Model is a automatic speech recognition model from NadiaHolmlund. 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: whisper
Access: Public
Created: Mar 11, 2023
Updated: Mar 11, 2023
SHA: 905dceee

Model card

From the Hugging Face model README

Fined_Tuned_Whisper_Model

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9338
Wer: 143.7516

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: 1e-05
train_batch_size: 16
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: 50
training_steps: 400
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5976	1.59	100	0.9443	143.7516
0.3549	3.17	200	0.9114	158.2756
0.2134	4.76	300	0.9270	134.3341
0.1631	6.35	400	0.9338	143.7516

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Mar 11, 2023
Updated: Mar 11, 2023