Training complete

README.md

@@ -3,6 +3,9 @@ base_model: microsoft/CodeGPT-small-py
 tags:
 - Code Generation
 - generated_from_trainer
+metrics:
+- rouge
+- bleu
 model-index:
 - name: codeGpt2-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/CodeGPT-small-py](https://huggingface.co/microsoft/CodeGPT-small-py) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 15.2145
-- eval_rouge1: 0.0404
-- eval_rouge2: 0.0044
-- eval_rougeL: 0.0340
-- eval_bleu: 0.3144
-- eval_meteor: 0.1171
-- eval_codebleu: 0.2796
-- eval_runtime: 19.7864
-- eval_samples_per_second: 0.505
-- eval_steps_per_second: 0.152
-- step: 0
+- Loss: 3.2141
+- Rouge1: 0.0873
+- Rouge2: 0.0056
+- Rougel: 0.0626
+- Bleu: 1.1469
+- Meteor: 0.1189
+- Codebleu: 0.2350
 
 ## 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/Jul29_13-52-42_b44245f76a97/events.out.tfevents.1722261163.b44245f76a97.404.1

@@ -1,3 +1,3 @@
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+size 5579

runs/Jul29_13-52-42_b44245f76a97/events.out.tfevents.1722261269.b44245f76a97.404.2

@@ -0,0 +1,3 @@
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