Training complete

README.md

@@ -4,6 +4,9 @@ base_model: xlnet-base-cased
 tags:
 - Text Generation
 - generated_from_trainer
+metrics:
+- rouge
+- bleu
 model-index:
 - name: xLNet-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 [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 20.6526
-- eval_rouge1: 0.0685
-- eval_rouge2: 0.0062
-- eval_rougeL: 0.0550
-- eval_bleu: 0.8352
-- eval_meteor: 0.1311
-- eval_codebleu: 0.2193
-- eval_runtime: 265.1606
-- eval_samples_per_second: 0.038
-- eval_steps_per_second: 0.004
-- step: 0
+- Loss: 12.2852
+- Rouge1: 0.0799
+- Rouge2: 0.0062
+- Rougel: 0.0596
+- Bleu: 0.8853
+- Meteor: 0.1244
+- Codebleu: 0.2037
 
 ## 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_13-14-13_319d69c43c8d/events.out.tfevents.1722259374.319d69c43c8d.511.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a6378e876be68b5ac811439443e4b7bcdbe7a6a01195fedf23003beeab4379f7
+size 648