open-ai-small-2

This model is a fine-tuned version of jadasdn/open-ai-small-1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3953
• Wer: 21.4497

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
0.1941	2.0	1000	0.2854	21.5383
0.0212	4.0	2000	0.3384	18.9827
0.0032	6.0	3000	0.3801	20.4698
0.0015	8.0	4000	0.3953	21.4497

Framework versions

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