Training complete

README.md

@@ -4,6 +4,9 @@ base_model: Salesforce/codet5-base
 tags:
 - Text Generation
 - generated_from_trainer
+metrics:
+- rouge
+- bleu
 model-index:
 - name: codeT5-finetuned-cXg-nl-to-code
   results: []
@@ -16,17 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 5.1557
-- eval_rouge1: 0.0047
-- eval_rouge2: 0.0
-- eval_rougeL: 0.0047
-- eval_bleu: 0.0894
-- eval_meteor: 0.0114
-- eval_codebleu: 0.0713
-- eval_runtime: 53.1863
-- eval_samples_per_second: 0.188
-- eval_steps_per_second: 0.019
-- step: 0
+- Loss: 2.5691
+- Rouge1: 0.0105
+- Rouge2: 0.0
+- Rougel: 0.0105
+- Bleu: 0.0636
+- Meteor: 0.0283
+- Codebleu: 0.0831
 
 ## Model description
 
@@ -54,6 +53,10 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.42.4

runs/Jul24_11-28-03_26c2becb4ef1/events.out.tfevents.1721820484.26c2becb4ef1.167.0

@@ -1,3 +1,3 @@
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-size 6035
+oid sha256:25f09a3071034aa8990da2b6ef5c4eff66244035fc3a82c933d3513eca3592e9
+size 6383

runs/Jul24_11-28-03_26c2becb4ef1/events.out.tfevents.1721821178.26c2becb4ef1.167.1

@@ -0,0 +1,3 @@
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+size 648