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README.md

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----
-license: mit
-base_model: xlnet-base-cased
-tags:
-- generated_from_trainer
-model-index:
-- name: xlnet
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# xlnet
-
-This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.8759
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.1873        | 1.0   | 2777 | 0.8810          |
-| 0.7592        | 2.0   | 5554 | 0.8365          |
-| 0.6161        | 3.0   | 8331 | 0.8759          |
-
-
-### Framework versions
-
-- Transformers 4.35.0
-- Pytorch 2.0.0
-- Datasets 2.1.0
-- Tokenizers 0.14.1