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Training complete

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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: 1.5944
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- - Rouge1: 0.0735
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- - Rouge2: 0.0022
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- - Rougel: 0.0671
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- - Bleu: 0.7231
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- - Meteor: 0.0630
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- - Codebleu: 0.0382
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  ## Model description
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@@ -50,16 +50,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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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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  | 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 | 4.8941 | 0.0196 | 0.004 | 0.0201 | 0.0446 | 0.0142 | 0.0146 |
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- | No log | 2.0 | 8 | 2.1851 | 0.0519 | 0.0019 | 0.0519 | 0.1178 | 0.0281 | 0.0217 |
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- | No log | 3.0 | 12 | 1.5944 | 0.0731 | 0.0022 | 0.0670 | 0.1442 | 0.0596 | 0.0246 |
 
 
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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: 0.8873
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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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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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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
runs/Aug03_10-00-30_ad256a0a023e/events.out.tfevents.1722680020.ad256a0a023e.7051.1 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:97fe67943c7f0e83f5d7b92bd4570e36d4875316eabf3428568fe3aed4b80fd7
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+ size 648