whisper-base-rus-8

CheeLi03/whisper-base-rus-8

whisper-base-rus-8 is a machine learning model from CheeLi03. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: whisper
Access: Public
Created: Oct 17, 2024
Updated: Oct 17, 2024
SHA: 9b27aa81

Base models

openai/whisper-base

Datasets

fleurs

Model card

From the Hugging Face model README

Whisper Base Russian 8000 - Chee Li

This model is a fine-tuned version of openai/whisper-base on the Google Fleurs dataset. It achieves the following results on the evaluation set:

Loss: 0.4957
Wer: 25.5545

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: 850
training_steps: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0635	5.4645	1000	0.3433	22.5882
0.0051	10.9290	2000	0.3879	23.0492
0.0019	16.3934	3000	0.4186	23.8976
0.0011	21.8579	4000	0.4422	24.4522
0.0007	27.3224	5000	0.4613	25.0
0.0005	32.7869	6000	0.4781	25.3140
0.0004	38.2514	7000	0.4907	25.4209
0.0003	43.7158	8000	0.4957	25.5545

Framework versions

Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: whisper
License: apache-2.0
Languages: ru
Created: Oct 17, 2024
Updated: Oct 17, 2024