whisper-base-atco – AI Model by allenpoe | AlphaNeural AI

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allenpoe/
whisper-base-atco

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automatic-speech-recognition

generated_from_trainer

Jzuluaga/atcosim_corpus

openai/whisper-small

endpoints_compatible

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Whisper Base ATCOSIM

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

Loss: 0.0557
Wer: 4.1692

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.6572	0.2092	100	1.2694	71.0096
0.3373	0.4184	200	0.3225	16.4296
0.147	0.6276	300	0.1653	9.2130
0.0975	0.8368	400	0.1107	6.3334
0.0544	1.0460	500	0.0892	6.2583
0.0344	1.2552	600	0.0760	5.4103
0.0517	1.4644	700	0.0663	5.0393
0.0396	1.6736	800	0.0607	4.3106
0.0297	1.8828	900	0.0566	4.2708
0.0133	2.0921	1000	0.0557	4.1692

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1