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README.md ADDED
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+ ---
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+ license: bsd-3-clause
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+ base_model: Salesforce/codet5p-770m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: codeT5p-770m-fine-tuned
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+ results: []
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # codeT5p-770m-fine-tuned
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+
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+ This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.6860
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+ - Bleu Score: 19.4855
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+ - Exact Match Precision: 31.5
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+ - Gen Len: 12.805
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+ - eval_batch_size: 8
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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: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Exact Match Precision | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------------------:|:-------:|
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+ | 4.8023 | 1.0 | 125 | 4.6860 | 19.4855 | 31.5 | 12.805 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.15.1
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+ "transformers_version": "4.35.2"
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+ }
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