LWobole/whisper-small-finetune-tl

Whisper-Small-Tl - LWobole

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

• Loss: 0.3868
• Wer: 16.0433

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: Use adamw_torch 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: 50
• training_steps: 800
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2124	1.3889	200	0.3847	18.5317
0.0993	2.7778	400	0.3647	16.8689
0.0289	4.1667	600	0.3793	16.0278
0.019	5.5556	800	0.3868	16.0433

Framework versions

• Transformers 4.51.3
• Pytorch 2.2.1+cu121
• Datasets 3.5.0
• Tokenizers 0.21.1