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SashaSheykina
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codeT5-finetuned-cXg-nl-to-code

Text2Text Generation
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Safetensors
t5
code-generation
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text-generation-inference
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  1. README.md +13 -13
  2. runs/Aug03_10-18-21_ad256a0a023e/events.out.tfevents.1722681111.ad256a0a023e.7051.3 +3 -0
README.md CHANGED
@@ -19,13 +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-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8873
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- - Rouge1: 0.1077
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- - Rouge2: 0.0133
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- - Rougel: 0.1043
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- - Bleu: 3.0765
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- - Meteor: 0.1706
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- - Codebleu: 0.0498
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 32
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  - eval_batch_size: 64
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bleu | Meteor | Codebleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 4 | 2.1149 | 0.0415 | 0.0010 | 0.0417 | 0.0629 | 0.0236 | 0.0177 |
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- | No log | 2.0 | 8 | 1.5027 | 0.0719 | 0.0028 | 0.0709 | 0.0682 | 0.0383 | 0.0201 |
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- | No log | 3.0 | 12 | 1.0964 | 0.0913 | 0.0106 | 0.0916 | 0.3613 | 0.1050 | 0.0267 |
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- | No log | 4.0 | 16 | 0.9316 | 0.1012 | 0.012 | 0.0979 | 0.6845 | 0.1369 | 0.0317 |
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- | No log | 5.0 | 20 | 0.8873 | 0.1058 | 0.012 | 0.1007 | 0.7454 | 0.1497 | 0.0338 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4852
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+ - Rouge1: 0.2602
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+ - Rouge2: 0.0661
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+ - Rougel: 0.2363
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+ - Bleu: 11.1005
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+ - Meteor: 0.3527
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+ - Codebleu: 0.1717
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 64
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bleu | Meteor | Codebleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 4 | 1.0580 | 0.0867 | 0.0075 | 0.0826 | 0.3778 | 0.0859 | 0.0271 |
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+ | No log | 2.0 | 8 | 0.7338 | 0.1628 | 0.0330 | 0.1493 | 1.7546 | 0.2224 | 0.0420 |
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+ | No log | 3.0 | 12 | 0.6427 | 0.2150 | 0.0546 | 0.1959 | 3.3997 | 0.2411 | 0.0680 |
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+ | No log | 4.0 | 16 | 0.5162 | 0.2598 | 0.0579 | 0.2303 | 5.3818 | 0.2805 | 0.1065 |
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+ | No log | 5.0 | 20 | 0.4852 | 0.2578 | 0.0559 | 0.2346 | 6.1221 | 0.2829 | 0.1208 |
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  ### Framework versions
runs/Aug03_10-18-21_ad256a0a023e/events.out.tfevents.1722681111.ad256a0a023e.7051.3 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:f54d8bf8755b7ec647148046d32867b48bc00e766d53aeb5b708659503ad0ede
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