whisper-medium-atco2-asr

jlvdoorn/whisper-medium-atco2-asr

whisper-medium-atco2-asr is a automatic speech recognition model from jlvdoorn. 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: Jan 15, 2024
Updated: Jan 15, 2024
SHA: cc649000

Base models

openai/whisper-medium

Model card

From the Hugging Face model README

whisper-medium-atco2-asr

This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7769
Wer: 23.9769

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5002	12.5	50	0.6266	23.6655
0.0013	25.0	100	0.6931	21.6637
0.0004	37.5	150	0.7297	21.7082
0.0003	50.0	200	0.7492	21.8416
0.0002	62.5	250	0.7622	21.8861
0.0002	75.0	300	0.7703	21.9306
0.0002	87.5	350	0.7753	23.0872
0.0002	100.0	400	0.7769	23.9769

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.0

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Jan 15, 2024
Updated: Jan 15, 2024