vts_to_text_based_small_1.0

This model is a fine-tuned version of openai/whisper-small on the idiotDeveloper/vts_sample_data_1.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0365
• Cer: 0.0

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: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• training_steps: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0588	25.0	25	0.0556	100.0
0.0352	50.0	50	0.0365	0.0

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.3.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1