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 [aubmindlab/aragpt2-base](https://huggingface.co/aubmindlab/aragpt2-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2191
-- Bleu: 0.0944
-- Rouge1: 0.4103
-- Rouge2: 0.1839
-- Rougel: 0.4066
+- Loss: 0.2078
+- Bleu: 0.0845
+- Rouge1: 0.4018
+- Rouge2: 0.1711
+- Rougel: 0.3978
 
 ## Model description
 

all_results.json

@@ -0,0 +1,19 @@
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+}

egy_training_log.txt

@@ -310,3 +310,5 @@ INFO:root:Epoch 16.0: Train Loss = 0.0327, Eval Loss = 0.21689023077487946
 INFO:absl:Using default tokenizer.
 INFO:root:Epoch 17.0: Train Loss = 0.0313, Eval Loss = 0.21753403544425964
 INFO:absl:Using default tokenizer.
+INFO:__main__:*** Evaluate ***
+INFO:absl:Using default tokenizer.

eval_results.json

@@ -0,0 +1,13 @@
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+}

train_results.json

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+}

trainer_state.json

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