dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_8

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

• Loss: 0.9169
• Wer: 31.4602

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: 0.001
• train_batch_size: 8
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 256
• total_train_batch_size: 2048
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine_with_restarts
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2713	14.7	500	0.7014	33.4447
0.3607	29.41	1000	0.8578	34.2037
0.0171	44.12	1500	0.9436	33.6293
0.0035	58.82	2000	0.9271	31.8954
0.0	73.53	2500	0.9195	31.5264
0.0	88.23	3000	0.9169	31.4602

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1
• Datasets 2.8.0
• Tokenizers 0.13.2