whisper-small-ru-ORD_0.9_0.1 – AI Model by mizoru | AlphaNeural AI

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mizoru/
whisper-small-ru-ORD_0.9_0.1

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automatic-speech-recognition

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openai/whisper-small

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Whisper Small Ru ORD 0.9 - Mizoru

This model is a fine-tuned version of openai/whisper-small on the ORD_0.9 dataset. It achieves the following results on the evaluation set:

Loss: 1.0101
Wer: 55.3480
Cer: 30.6157
Clean Wer: 49.0786
Clean Cer: 25.0685

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
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer	Clean Wer	Clean Cer
1.0556	1.0	550	1.0824	56.6466	31.3266	49.6817	25.7468
0.979	2.0	1100	1.0150	55.8725	31.2389	49.7929	25.7459
0.8231	3.0	1650	1.0072	55.8588	30.5663	49.0675	24.9799
0.7372	4.0	2200	1.0101	55.3480	30.6157	49.0786	25.0685

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1