whisper-tiny-fluers_V2_telugu_Augmentation_bf16

eswardivi/whisper-tiny-fluers_V2_telugu_Augmentation_bf16

whisper-tiny-fluers_V2_telugu_Augmentation_bf16 is a automatic speech recognition model from eswardivi. 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 11, 2023
Updated: Apr 11, 2023
SHA: 9efbf421

Model card

From the Hugging Face model README

whisper-tiny-fluers_V2_telugu_Augmentation_bf16

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

Loss: 0.5041
Wer: 60.0

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: 1.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0846	2.72	300	0.3169	83.05
0.065	5.44	600	0.3526	68.65
0.0379	8.15	900	0.3954	65.75
0.0253	10.9	1200	0.4391	62.9500
0.0147	13.62	1500	0.4715	59.0500
0.0094	16.35	1800	0.5041	60.0

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.12.1
Datasets 2.11.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Apr 11, 2023
Updated: Apr 11, 2023