whisper-small-fc-am/README.md

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

library_name	license	base_model	tags	datasets	metrics	model-index
transformers	apache-2.0	wu-kiot/whisper-small-am-fleurs	generated_from_trainer	common_voice_17_0	wer	name results whisper-small-fc-am task dataset metrics name type Automatic Speech Recognition automatic-speech-recognition name type config split args common_voice_17_0 common_voice_17_0 am None am name type value Wer wer 62.73062730627307

whisper-small-fc-am

This model is a fine-tuned version of wu-kiot/whisper-small-am-fleurs on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3756
• Wer: 62.7306

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-05
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.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: 150
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2866	1.0	44	0.2855	63.9958
0.1582	2.0	88	0.2958	64.1539
0.0885	3.0	132	0.3311	67.4222
0.0793	4.0	176	0.3700	66.4207
0.0375	5.0	220	0.3756	62.7306

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0