whisper-atco2-largev2

luigisaetta/whisper-atco2-largev2

whisper-atco2-largev2 is a automatic speech recognition model from luigisaetta. 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: Dec 22, 2022
Updated: Dec 22, 2022
SHA: 334d55cd

Model card

From the Hugging Face model README

openai/whisper-large-v2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8022
Wer: 20.0210

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
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0029	8.33	100	0.6650	19.2872
0.0005	16.67	200	0.7456	18.4486
0.0003	25.0	300	0.7798	19.4969
0.0002	33.33	400	0.7964	19.7065
0.0002	41.67	500	0.8022	20.0210

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1
Datasets 2.8.1.dev0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Dec 22, 2022
Updated: Dec 22, 2022