English-1

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9309
• Wer: 91.4530

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: 8
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	22	9.1617	100.0
No log	2.0	44	4.2719	100.0
No log	3.0	66	2.9975	100.0
No log	4.0	88	2.2389	99.5726
No log	5.0	110	1.9309	91.4530
No log	6.0	132	1.9309	91.4530
No log	7.0	154	1.9309	91.4530
No log	8.0	176	1.9309	91.4530
No log	9.0	198	1.9309	91.4530
No log	10.0	220	1.9309	91.4530

Framework versions

• Transformers 4.30.0.dev0
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.13.3