Update README.md

README.md

@@ -105,31 +105,3 @@ Final response in 1294.857 s:
   
 3. Somewhat related to #2 above, fixing/correcting so-called [tortured-phrases](https://arxiv.org/abs/2107.06751) that are dead giveaways text was generated by a language model. _Note that _SOME_ of these are not fixed, especially as they venture into domain-specific terminology (i.e. irregular timberland instead of Random Forest)._
 
-
-## Training and evaluation data
-
-More information needed 😉
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 8e-05
-- train_batch_size: 4
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- gradient_accumulation_steps: 32
-- total_train_batch_size: 128
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.02
-- num_epochs: 1
-
-### Framework versions
-
-- Transformers 4.20.1
-- Pytorch 1.11.0+cu113
-- Datasets 2.3.2
-- Tokenizers 0.12.1