base_model, datasets, library_name, license, metrics, tags, model-index

base_model	datasets	library_name	license	metrics	tags	model-index
openai/whisper-small	fleurs	transformers	apache-2.0	wer	generated_from_trainer	name results whisper-small-ablation-add-NLD-90 task dataset metrics type name automatic-speech-recognition Automatic Speech Recognition name type config split args fleurs fleurs id_id None id_id type value name wer 17.5811209439528 Wer

whisper-small-ablation-add-NLD-90

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

• Loss: 0.4254
• Wer: 17.5811

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: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2897	0.5263	200	0.4269	18.6726
0.177	1.0526	400	0.4194	18.0826
0.1516	1.5789	600	0.4377	17.9720
0.0713	2.1053	800	0.4025	17.8319
0.074	2.6316	1000	0.4254	17.5811

Framework versions

• Transformers 4.45.0
• Pytorch 2.11.0+cu130
• Datasets 3.0.1
• Tokenizers 0.20.0