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MergeV2-FineTuned – AI Model by Fahd1199 | AlphaNeural AI

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Fahd1199/
MergeV2-FineTuned

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fahd1199/datasetdarijatest

openai/whisper-small

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Whisper Small Darija

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

eval_loss: 0.7074
eval_runtime: 57.1463
eval_samples_per_second: 2.625
eval_steps_per_second: 0.332
epoch: 1.9324
step: 800

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: 0.0001
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: cosine_with_restarts
lr_scheduler_warmup_steps: 200
num_epochs: 2
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.0
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1