whisper-base-en

TroySer/whisper-base-en

whisper-base-en is a automatic speech recognition model from TroySer. 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: Apr 9, 2024
Updated: Apr 9, 2024
SHA: 3a62ce03

Base models

openai/whisper-base

Model card

From the Hugging Face model README

whisper-base-en

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

Loss: 0.0610
Wer: 4.9491

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: 1
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: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	2.63	50	0.1663	8.8120
No log	5.26	100	0.0715	5.1954
No log	7.89	150	0.0610	4.9491

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Apr 9, 2024
Updated: Apr 9, 2024