SashaSheykina commited on
Commit
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1 Parent(s): e9b840c

Training complete

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README.md CHANGED
@@ -4,6 +4,9 @@ base_model: Salesforce/codet5-small
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  tags:
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  - Code Generation
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: codeT5small-finetuned-cXg-nl-to-code
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  results: []
@@ -16,17 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 6.3971
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- - eval_rouge1: 0.0
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- - eval_rouge2: 0.0
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- - eval_rougeL: 0.0
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- - eval_bleu: 0.5236
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- - eval_meteor: 0.0250
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- - eval_codebleu: 0.2548
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- - eval_runtime: 16.1101
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- - eval_samples_per_second: 0.621
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- - eval_steps_per_second: 0.062
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- - step: 0
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  ## Model description
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@@ -54,6 +53,10 @@ The following hyperparameters were used during training:
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  - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.42.4
 
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  tags:
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  - Code Generation
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  - generated_from_trainer
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+ metrics:
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+ - rouge
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+ - bleu
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  model-index:
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  - name: codeT5small-finetuned-cXg-nl-to-code
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  results: []
 
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  This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.8098
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+ - Rouge1: 0.0074
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+ - Rouge2: 0.0
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+ - Rougel: 0.0074
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+ - Bleu: 0.9845
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+ - Meteor: 0.0255
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+ - Codebleu: 0.2550
 
 
 
 
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  ## Model description
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  - num_epochs: 3
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+
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+
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  ### Framework versions
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  - Transformers 4.42.4
runs/Jul24_13-04-35_a71dc02be579/events.out.tfevents.1721826410.a71dc02be579.554.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:60fd9789c9546e1bac18f20f2dfb2132355e80f6efcd963d125d7b8a3cd21feb
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+ size 648