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Update README.md

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Updated README.md after finetuning on QQPD for 3 epochs.

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  1. README.md +7 -11
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@@ -14,16 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # xlnet-base-cased-finetuned-qqp
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- This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.3759
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- - eval_accuracy: 0.8292
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- - eval_f1: 0.7729
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- - eval_runtime: 406.2664
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- - eval_samples_per_second: 99.516
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- - eval_steps_per_second: 6.22
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- - epoch: 0.05
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- - step: 1237
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  ## Model description
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@@ -45,10 +41,10 @@ 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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- - num_epochs: 1
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  ### Framework versions
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  # xlnet-base-cased-finetuned-qqp
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+ This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the qqp dataset (part of glue dataset).
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.27
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+ - eval_accuracy: 0.9087
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+ - eval_f1: 0.899
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+ - epoch: 3
 
 
 
 
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  ## Model description
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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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+ - weight_decay: 0.01
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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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+ - num_epochs: 3
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  ### Framework versions
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