whisper-atcosim2

luigisaetta/whisper-atcosim2

whisper-atcosim2 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: May 12, 2023
Updated: May 12, 2023
SHA: f82227b0

Model card

From the Hugging Face model README

whisper-atcosim2

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

Loss: 0.0524
Wer: 0.0304

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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 300
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5702	0.2	50	0.2557	0.1007
0.1181	0.39	100	0.1144	0.0775
0.1084	0.59	150	0.0747	0.0482
0.0737	0.79	200	0.0616	0.0369
0.064	0.98	250	0.0556	0.0440
0.0313	1.18	300	0.0524	0.0304

Framework versions

Transformers 4.29.0
Pytorch 2.0.0+cu117
Datasets 2.12.0
Tokenizers 0.11.0

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