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relevant_model

Text Classification
Transformers
Safetensors
distilbert
text-embeddings-inference
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relevant_model
File size: 1,120 Bytes
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{
  "best_metric": 0.764684941260235,
  "best_model_checkpoint": "relevant_model/run-0/checkpoint-1113",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 1113,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
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      "learning_rate": 8.028932935250765e-07,
      "loss": 0.5031,
      "step": 500
    },
    {
      "epoch": 0.9,
      "learning_rate": 1.480047996220777e-07,
      "loss": 0.42,
      "step": 1000
    },
    {
      "epoch": 1.0,
      "eval_f1": 0.764684941260235,
      "eval_loss": 0.40596920251846313,
      "eval_runtime": 7.7707,
      "eval_samples_per_second": 509.094,
      "eval_steps_per_second": 7.979,
      "step": 1113
    }
  ],
  "logging_steps": 500,
  "max_steps": 1113,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 500,
  "total_flos": 7085134726089984.0,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 1.4577817874280751e-06,
    "num_train_epochs": 1,
    "per_device_train_batch_size": 64,
    "seed": 36
  }
}