whisper-tiny-finetuned-minds14-enUS

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

• Wer: 0.3377

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 600

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.3065	3.57	100	0.4921	0.3689	0.3577
0.0391	7.14	200	0.5425	0.3535	0.3436
0.0042	10.71	300	0.5878	0.3566	0.3495
0.0012	14.29	400	0.6206	0.3430	0.3377
0.0007	17.86	500	0.6438	0.3448	0.3406
0.0005	21.43	600	0.6602	0.3430	0.3394

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3