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End of training

Browse files
README.md CHANGED
@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.0003
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- - eval_accuracy: {'accuracy': 1.0}
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- - eval_f1score: {'f1': 1.0}
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- - eval_runtime: 2.7276
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- - eval_samples_per_second: 46.194
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- - eval_steps_per_second: 5.866
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  - step: 0
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  ## Model description
@@ -46,8 +46,8 @@ The following hyperparameters were used during training:
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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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- - lr_scheduler_warmup_steps: 87
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- - num_epochs: 7
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  ### Framework versions
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.8152
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+ - eval_accuracy: {'accuracy': 0.6825396825396826}
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+ - eval_f1score: {'f1': 0.553758610362384}
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+ - eval_runtime: 2.7313
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+ - eval_samples_per_second: 46.131
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+ - eval_steps_per_second: 5.858
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  - step: 0
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  ## Model description
 
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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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+ - lr_scheduler_warmup_steps: 12
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+ - num_epochs: 2
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  ### Framework versions
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