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whisper_fintuned – AI Model by laalays | AlphaNeural AI

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laalays/
whisper_fintuned

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automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny.en

endpoints_compatible

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whisper_fintuned

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

eval_loss: 0.2894
eval_wer: 13.9949
eval_runtime: 54.8883
eval_samples_per_second: 9.109
eval_steps_per_second: 1.148
epoch: 16.3889
step: 590

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: 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

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.1.dev0
Tokenizers 0.19.1