whisper-hindi-base-2 – AI Model by TheAIchemist13 | AlphaNeural AI

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whisper-hindi-base-2

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whisper-hindi-base-2

This model is a fine-tuned version of TheAIchemist13/whisper-hindi-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4431
Wer: 45.1568

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: 1.75e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2311	0.42	250	0.4786	50.4530
0.2449	0.84	500	0.4508	49.7561
0.1269	1.26	750	0.4437	45.9233
0.1538	1.68	1000	0.4388	48.2927
0.0864	2.1	1250	0.4283	44.9477
0.0885	2.52	1500	0.4429	44.8780
0.0765	2.94	1750	0.4405	46.2718
0.0614	3.36	2000	0.4431	45.1568

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1