tiny_test1

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

• Loss: 1.0436
• Cer: 30.9792

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: 16
• eval_batch_size: 8
• 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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.3366	5.59	1000	0.8486	32.4585
0.0591	11.17	2000	0.9387	30.4734
0.0145	16.76	3000	1.0169	30.4925
0.0086	22.35	4000	1.0436	30.9792

Framework versions

• Transformers 4.38.2
• Pytorch 2.0.0
• Datasets 2.18.0
• Tokenizers 0.15.2