model_whisper_base_atco2 – AI Model by FunPang | AlphaNeural AI

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model_whisper_base_atco2

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automatic-speech-recognition

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openai/whisper-base

endpoints_compatible

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model_whisper_base_atco2

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: 0.1121
Wer: 4.5085

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.221	1.0	1012	0.1050	6.2112
0.062	2.0	2024	0.0924	7.5700
0.0283	3.0	3036	0.0885	5.2969
0.0152	4.0	4048	0.0924	4.7559
0.0081	5.0	5060	0.0966	5.3263
0.0058	6.0	6072	0.0990	4.5169
0.0053	7.0	7084	0.1019	4.4791
0.0041	8.0	8096	0.1057	4.2610
0.0043	9.0	9108	0.1058	4.6217
0.0031	10.0	10120	0.1121	4.5085

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1