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whisper-small-ru-ORD_0.9_peft_0.1 – AI Model by mizoru | AlphaNeural AI

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whisper-small-ru-ORD_0.9_peft_0.1

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Whisper Small Ru ORD 0.9 PEFT LoRA - 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:

eval_loss: 1.1645
eval_wer: 60.0083
eval_cer: 32.4890
eval_clean_wer: 52.7531
eval_clean_cer: 26.9858
eval_runtime: 3824.1394
eval_samples_per_second: 0.144
eval_steps_per_second: 0.036
epoch: 3.0
step: 1650

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: 0.001
train_batch_size: 16
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 2000
mixed_precision_training: Native AMP

Framework versions

PEFT 0.10.1.dev0
Transformers 4.41.0.dev0
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1