Training complete

README.md

@@ -4,6 +4,9 @@ base_model: roberta-base
 tags:
 - Text Generation
 - generated_from_trainer
+metrics:
+- rouge
+- bleu
 model-index:
 - name: roBerta-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 [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 9.6066
-- eval_rouge1: 0.0880
-- eval_rouge2: 0.0056
-- eval_rougeL: 0.0629
-- eval_bleu: 1.2970
-- eval_meteor: 0.1134
-- eval_codebleu: 0.2059
-- eval_runtime: 16.3223
-- eval_samples_per_second: 0.613
-- eval_steps_per_second: 0.061
-- step: 0
+- Loss: 3.2143
+- Rouge1: 0.0880
+- Rouge2: 0.0056
+- Rougel: 0.0629
+- Bleu: 1.2970
+- Meteor: 0.1134
+- Codebleu: 0.2059
 
 ## 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/Jul29_12-00-58_638e8c1af087/events.out.tfevents.1722254459.638e8c1af087.175.1

@@ -1,3 +1,3 @@
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-size 4184
+oid sha256:e44701594a1926a71cde72d66aa2f0bc91a8cdfd413ce3aada940329482714a4
+size 5399

runs/Jul29_12-00-58_638e8c1af087/events.out.tfevents.1722254620.638e8c1af087.175.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e755d275d5f0c8374ec79ba5947d87cf6118b0a0c5e85ce652e18c368dae02da
+size 648