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whisper-tboli-asr-baseline – AI Model by crslnjoyz | AlphaNeural AI

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crslnjoyz/
whisper-tboli-asr-baseline

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openai/whisper-large-v3

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whisper-tboli-asr-baseline

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 4.5239
eval_model_preparation_time: 0.0289
eval_wer: 115.1473
eval_runtime: 183.4896
eval_samples_per_second: 2.534
eval_steps_per_second: 0.638
step: 0

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: 5e-06
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 12
mixed_precision_training: Native AMP

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.5.0
Tokenizers 0.22.2