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whisper_st

Automatic Speech Recognition
Transformers
PyTorch
whisper
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xet
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whisper_st
File size: 1,208 Bytes 
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{
  "best_metric": 97.17514124293785,
  "best_model_checkpoint": "./whisper-small-hi\\checkpoint-30",
  "epoch": 30.0,
  "global_step": 30,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 10.0,
      "eval_loss": 2.1109774112701416,
      "eval_runtime": 161.1687,
      "eval_samples_per_second": 0.068,
      "eval_steps_per_second": 0.012,
      "eval_wer": 101.69491525423729,
      "step": 10
    },
    {
      "epoch": 20.0,
      "eval_loss": 1.7198082208633423,
      "eval_runtime": 158.8454,
      "eval_samples_per_second": 0.069,
      "eval_steps_per_second": 0.013,
      "eval_wer": 100.0,
      "step": 20
    },
    {
      "epoch": 25.0,
      "learning_rate": 5.000000000000001e-07,
      "loss": 2.007,
      "step": 25
    },
    {
      "epoch": 30.0,
      "eval_loss": 1.3272284269332886,
      "eval_runtime": 185.4253,
      "eval_samples_per_second": 0.059,
      "eval_steps_per_second": 0.011,
      "eval_wer": 97.17514124293785,
      "step": 30
    }
  ],
  "max_steps": 40,
  "num_train_epochs": 40,
  "total_flos": 9.52331821056e+16,
  "trial_name": null,
  "trial_params": null
}