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metadata
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
base_model: openai/whisper-base
model-index:
  - name: whisper-base-full-data-language-v2-20ep
    results: []

whisper-base-full-data-language-v2-20ep

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

  • Loss: 0.1929

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: 0.00015
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: tpu
  • num_devices: 8
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 256
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5000
  • training_steps: 63840

Training results

Training Loss Epoch Step Validation Loss
0.3116 1.57 5000 0.5301
0.2104 3.13 10000 0.4066
0.1729 4.7 15000 0.3555
0.1472 6.27 20000 0.3208
0.128 7.83 25000 0.2923
0.1065 9.4 30000 0.2719
0.0995 10.97 35000 0.2516
0.0812 12.53 40000 0.2368
0.066 14.1 45000 0.2230
0.0574 15.67 50000 0.2119
0.0463 17.23 55000 0.2028
0.04 18.8 60000 0.1957

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.1.0a0+gitcc01568
  • Datasets 2.13.1
  • Tokenizers 0.13.3