whisper-tiny-hi2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3163
• Wer: 41.5276

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: 1
• 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: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0738	2.0	500	0.4355	53.2052
0.3349	4.0	1000	0.3382	44.7117
0.242	6.0	1500	0.3177	42.8741
0.2009	8.0	2000	0.3163	41.5276

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1