sm_en_dg_24_30sv

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

• Loss: 0.1406
• Wer: 8.2000

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: 64
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• 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_ratio: 0.1
• training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1617	0.2971	1000	0.1642	9.1994
0.1513	0.5942	2000	0.1505	8.6898
0.1421	0.8913	3000	0.1442	8.3803
0.1207	1.1884	4000	0.1419	8.2546
0.1211	1.4854	5000	0.1406	8.2000

Framework versions

• Transformers 4.50.3
• Pytorch 2.10.0+cu128
• Datasets 3.3.0
• Tokenizers 0.21.4