End of training

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0112
-- Rouge1: 0.0041
-- Rouge2: 0.0023
-- Rougel: 0.0039
-- Blue: 11.8733
+- Loss: 4.6922
+- Rouge1: 0.0502
+- Rouge2: 0.0233
+- Rougel: 0.0450
+- Blue: 18.1672
 - Exact Match: 0.0
 
 ## Model description
@@ -41,9 +41,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 4e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear

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