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update model card README.md

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  1. README.md +8 -13
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@@ -6,7 +6,6 @@ tags:
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  model-index:
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  - name: starcoder-cpp2py-newprogram3
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  results: []
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- library_name: peft
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1092
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  ## Model description
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@@ -35,7 +34,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 7e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.1208 | 0.17 | 25 | 0.1120 |
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- | 0.117 | 0.33 | 50 | 0.1107 |
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- | 0.1182 | 0.5 | 75 | 0.1097 |
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- | 0.1116 | 0.67 | 100 | 0.1093 |
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- | 0.1185 | 0.83 | 125 | 0.1092 |
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- | 0.1163 | 1.03 | 150 | 0.1092 |
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  ### Framework versions
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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  - Transformers 4.32.0.dev0
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.12.0
 
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  model-index:
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  - name: starcoder-cpp2py-newprogram3
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  results: []
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1061
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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: 8e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1181 | 0.17 | 25 | 0.1076 |
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+ | 0.1118 | 0.33 | 50 | 0.1066 |
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+ | 0.1134 | 0.5 | 75 | 0.1063 |
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+ | 0.1078 | 0.67 | 100 | 0.1062 |
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+ | 0.1145 | 0.83 | 125 | 0.1061 |
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+ | 0.1126 | 1.03 | 150 | 0.1061 |
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  ### Framework versions
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  - Transformers 4.32.0.dev0
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.12.0