open-ai-small-3

This model is a fine-tuned version of jadasdn/open-ai-small-2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4889
• Wer: 33.6269

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	Wer
0.1743	2.0	1000	0.3538	26.4483
0.0173	4.0	2000	0.4314	33.3993
0.0028	6.0	3000	0.4756	35.0962
0.0014	8.0	4000	0.4889	33.6269

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0