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AIME_Project_The_Final – AI Model by lcjln | AlphaNeural AI

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lcjln/
AIME_Project_The_Final

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

lcjln/AIME_Preprocessed_Dataset

openai/whisper-medium

endpoints_compatible

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AIME_Model

This model is a fine-tuned version of openai/whisper-medium on the AIME_Preprocessed_Dataset dataset.

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
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1