whisper-large-khmer-finetuned

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whisper-large-khmer-finetuned

This model is a fine-tuned version of unsloth/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9727
• Wer: 100.0
• Ter: 10000.0

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: 2e-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 3407
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3

Training results

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu128
• Datasets 4.3.0
• Tokenizers 0.22.1