Eimhin03/ModelsMCV22Training

Whisper tiny Spanish

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

• Loss: 1.6335
• Wer: 81.5478

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: 2
• eval_batch_size: 1
• seed: 42
• 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: 500
• training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6927	3.6630	1000	1.6329	77.3607
0.1502	7.3260	2000	1.6335	81.5478

Framework versions

• Transformers 4.57.0.dev0
• Pytorch 2.8.0+cu126
• Datasets 4.2.0
• Tokenizers 0.22.1