whisper-small-atcosim – AI Model by jlvdoorn | AlphaNeural AI

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jlvdoorn/
whisper-small-atcosim

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automatic-speech-recognition

generated_from_trainer

openai/whisper-small

10.57967/hf/1622

endpoints_compatible

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whisper-small-atcosim

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

Loss: 0.0569
Wer: 1.5420

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1664	8.33	500	0.0441	1.4632
0.0008	16.67	1000	0.0465	1.5420
0.0001	25.0	1500	0.0494	1.5142
0.0	33.33	2000	0.0511	1.5049
0.0	41.67	2500	0.0524	1.5003
0.0	50.0	3000	0.0535	1.5142
0.0	58.33	3500	0.0544	1.5188
0.0	66.67	4000	0.0552	1.5188
0.0	75.0	4500	0.0559	1.5327
0.0	83.33	5000	0.0564	1.5558
0.0	91.67	5500	0.0567	1.5512
0.0	100.0	6000	0.0569	1.5420

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.0