update model card README.md

README.md

@@ -1,8 +1,7 @@
 ---
+license: mit
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: CodeGeneration
   results: []
@@ -13,14 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # CodeGeneration
 
-This model is a fine-tuned version of [SEBIS/code_trans_t5_small_program_synthese_transfer_learning_finetune](https://huggingface.co/SEBIS/code_trans_t5_small_program_synthese_transfer_learning_finetune) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 5.2823
-- Rouge1: 0.0
-- Rouge2: 0.0
-- Rougel: 0.0
-- Rougelsum: 0.0
-- Gen Len: 1.0
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 
 ## Model description
 
@@ -40,12 +32,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 64
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5.0
+- num_epochs: 3.0
 
 ### Training results