whisper-medium-or-exp1-ct2-fp16

kavyamanohar/whisper-medium-or-exp1-ct2-fp16

whisper-medium-or-exp1-ct2-fp16 is a machine learning model from kavyamanohar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: transformers
License: mit
Access: Public
Created: Jun 9, 2025
Updated: Jun 9, 2025
SHA: 59d4e65f

Base models

kavyamanohar/AI4B-Indicwhisper-or

Model card

From the Hugging Face model README

whisper-medium-or-exp1

This model is a fine-tuned version of kavyamanohar/AI4B-Indicwhisper-or on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1437
Wer: 40.7851

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: 5e-07
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 600
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3643	2.0533	100	0.2478	41.7376
0.1421	5.05	200	0.1664	41.3913
0.1	8.0467	300	0.1519	41.1459
0.0848	11.0433	400	0.1463	40.8573
0.0763	14.04	500	0.1444	40.8140
0.0726	17.0367	600	0.1437	40.7851

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.1
Tokenizers 0.21.1

Library: transformers
License: mit
Created: Jun 9, 2025
Updated: Jun 9, 2025