whisper-tiny-v2-ta_e6

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

• Loss: 0.5092
• Wer: 56.9007

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: 1.5e-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.1589	0.11	300	1.1044	244.4552
0.8824	0.21	600	0.8741	111.4770
0.7377	0.32	900	0.6424	59.2252
0.6134	0.42	1200	0.5511	55.1090
0.5779	0.53	1500	0.5312	60.0969
0.558	0.63	1800	0.5183	58.0145
0.5654	0.74	2100	0.5092	56.9007

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 1.12.1
• Datasets 2.11.0
• Tokenizers 0.13.3