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davidgaofc
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ShadowAttackF

Text Classification
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Safetensors
distilbert
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End of training

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Files changed (5) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Nov25_21-23-09_df68e7d6d157/events.out.tfevents.1700947391.df68e7d6d157.1716.6 +2 -2
  4. runs/Nov25_21-26-08_df68e7d6d157/events.out.tfevents.1700947570.df68e7d6d157.1716.7 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,16 +15,16 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 1.0034
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- - eval_accuracy: 0.5061
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- - eval_f1: 0.5059
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- - eval_precision: 0.5067
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- - eval_recall: 0.5061
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- - eval_runtime: 1.3514
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- - eval_samples_per_second: 242.719
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- - eval_steps_per_second: 15.54
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- - epoch: 3.57
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- - step: 293
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  ## Model description
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@@ -44,8 +44,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 3.6940
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+ - eval_accuracy: 0.5030
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+ - eval_f1: 0.4903
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+ - eval_precision: 0.5068
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+ - eval_recall: 0.5030
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+ - eval_runtime: 1.2509
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+ - eval_samples_per_second: 262.212
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+ - eval_steps_per_second: 13.59
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+ - epoch: 5.09
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+ - step: 336
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 20
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+ - eval_batch_size: 20
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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