whisper-tiny-id – AI Model by Scrya | AlphaNeural AI

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whisper-tiny-id

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Whisper Tiny ID - FLEURS-CV

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: 0.5129
Wer: 31.1298

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: 32
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: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.617	1.43	500	0.5956	40.1521
0.4062	2.86	1000	0.4991	33.2066
0.2467	4.29	1500	0.4755	31.6802
0.1904	5.71	2000	0.4681	30.5907
0.118	7.14	2500	0.4776	30.9368
0.0941	8.57	3000	0.4831	30.7297
0.0771	10.0	3500	0.4912	31.1014
0.0536	11.43	4000	0.5043	31.2319
0.0502	12.86	4500	0.5113	31.2404
0.0418	14.29	5000	0.5129	31.1298

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2