Training complete

README.md

@@ -3,6 +3,9 @@ base_model: microsoft/codebert-base
 tags:
 - Text Generation
 - generated_from_trainer
+metrics:
+- rouge
+- bleu
 model-index:
 - name: codeBert-finetuned-cXg-nl-to-code
   results: []
@@ -15,17 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 17.9546
-- eval_rouge1: 0.0741
-- eval_rouge2: 0.0047
-- eval_rougeL: 0.0528
-- eval_bleu: 1.0975
-- eval_meteor: 0.0974
-- eval_codebleu: {'codebleu': 0.2174788437391285, 'ngram_match_score': 0.0007172304133318851, 'weighted_ngram_match_score': 0.0015773932015006452, 'syntax_match_score': 0.07692307692307693, 'dataflow_match_score': 0.7906976744186046}
-- eval_runtime: 40.1888
-- eval_samples_per_second: 0.249
-- eval_steps_per_second: 0.025
-- step: 0
+- Loss: 14.1875
+- Rouge1: 0.0584
+- Rouge2: 0.0036
+- Rougel: 0.0416
+- Bleu: 0.8819
+- Meteor: 0.0994
+- Codebleu: 0.2407
 
 ## Model description
 
@@ -53,6 +52,10 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.42.4

runs/Jul26_17-51-11_30aead859e7a/events.out.tfevents.1722016973.30aead859e7a.53813.6

@@ -0,0 +1,3 @@
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+oid sha256:63402c5c38ea17db490b2a87908f9ab58cccf6c708993d70e10b8c63ed47d89c
+size 648