Update README.md

README.md

@@ -5,56 +5,4 @@ datasets:
 - big_patent
 model-index:
 - name: reformer-finetuned
-  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. -->
-
-# reformer-finetuned
-
-This model is a fine-tuned version of ["google/reformer-crime-and-punishment"](https://huggingface.co/google/reformer-crime-and-punishment) on the big_patent dataset, wikipedia, and arxiv.
-It achieves the following results on the evaluation set:
-- Loss: 0.0000
-
-## 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: 64
-- eval_batch_size: 64
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 0.0           | 1.0   | 29934 | 0.0000          |
-| 0.0           | 2.0   | 59868 | 0.0000          |
-| 0.0           | 3.0   | 89802 | 0.0000          |
-
-
-### Framework versions
-
-- Transformers 4.20.1
-- Pytorch 1.11.0+cu113
-- Datasets 2.3.2
-- Tokenizers 0.12.1
+  results: []