whisper-base-atco2-asr – AI Model by jlvdoorn | AlphaNeural AI

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jlvdoorn/
whisper-base-atco2-asr

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automatic-speech-recognition

generated_from_trainer

openai/whisper-base

10.57967/hf/1628

endpoints_compatible

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whisper-base-atco2-asr

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

Loss: 0.9060
Wer: 49.2883

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
0.9897	12.5	50	0.8748	70.4626
0.0447	25.0	100	0.8519	52.0463
0.0087	37.5	150	0.8772	39.2794
0.0043	50.0	200	0.8891	39.3683
0.0034	62.5	250	0.8976	49.4217
0.0027	75.0	300	0.9022	49.1548
0.0024	87.5	350	0.9050	49.2438
0.0023	100.0	400	0.9060	49.2883

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.0