whisper-small-CV-43-linear-decay – AI Model by alikanakar | AlphaNeural AI

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alikanakar/
whisper-small-CV-43-linear-decay

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_16_1

openai/whisper-small

endpoints_compatible

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Whisper Small Tr - CV 43h - Linear Decay

This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:

Loss: 0.2554
Wer: 21.6318

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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 4000
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2413	0.37	500	0.2845	23.9500
0.2005	0.73	1000	0.2615	22.3219
0.1583	1.1	1500	0.2493	21.5365
0.1513	1.46	2000	0.2485	21.5455
0.1502	1.83	2500	0.2407	21.0639
0.0959	2.19	3000	0.2485	21.1987
0.1074	2.56	3500	0.2539	21.8762
0.105	2.92	4000	0.2554	21.6318

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2