distill-whisper-jargon

This model is a fine-tuned version of distil-whisper/distil-small.en on the btemirov/fin-terms dataset. It achieves the following results on the evaluation set:

• Loss: 4.4314
• Wer: 78.4173

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.8199	22.22	100	3.5227	79.3525
2.3504	44.44	200	3.7073	77.3022
1.4612	66.67	300	4.1042	78.6691
0.9713	88.89	400	4.3164	77.7698
0.7453	111.11	500	4.4314	78.4173

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0