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t5-small-codesearchnet-python-stripped

Text2Text Generation
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t5
Generated from Trainer
text-generation-inference
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  2. README.md +79 -0
  3. checkpoint-3750/config.json +60 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ - rouge
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+ model-index:
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+ - name: t5-small-codesearchnet-python
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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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+ # t5-small-codesearchnet-python
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7802
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+ - Bleu: 0.0027
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+ - Rouge1: 0.2097
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+ - Rouge2: 0.0628
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+ - Avg Length: 15.7496
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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: 5e-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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+ - gradient_accumulation_steps: 10
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+ - total_train_batch_size: 80
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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: 15
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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 | Rouge1 | Rouge2 | Avg Length |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:----------:|
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+ | No log | 1.0 | 375 | 0.9665 | 0.0004 | 0.1696 | 0.0384 | 14.1472 |
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+ | 2.0677 | 2.0 | 750 | 0.8740 | 0.0004 | 0.1758 | 0.0428 | 13.38 |
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+ | 0.8314 | 3.0 | 1125 | 0.8281 | 0.001 | 0.1925 | 0.0505 | 14.8026 |
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+ | 0.7563 | 4.0 | 1500 | 0.7996 | 0.0017 | 0.2033 | 0.0582 | 14.9606 |
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+ | 0.7563 | 5.0 | 1875 | 0.7780 | 0.0022 | 0.2117 | 0.0607 | 14.9434 |
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+ | 0.6959 | 6.0 | 2250 | 0.7587 | 0.002 | 0.2135 | 0.0621 | 14.6926 |
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+ | 0.6591 | 7.0 | 2625 | 0.7545 | 0.002 | 0.2073 | 0.0605 | 15.2818 |
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+ | 0.6205 | 8.0 | 3000 | 0.7472 | 0.0024 | 0.2187 | 0.0674 | 15.051 |
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+ | 0.6205 | 9.0 | 3375 | 0.7506 | 0.0031 | 0.2266 | 0.0696 | 15.6286 |
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+ | 0.5822 | 10.0 | 3750 | 0.7449 | 0.001 | 0.206 | 0.063 | 13.1462 |
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+ | 0.5553 | 11.0 | 4125 | 0.7573 | 0.0027 | 0.2148 | 0.0647 | 16.4076 |
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+ | 0.5295 | 12.0 | 4500 | 0.7677 | 0.0026 | 0.2185 | 0.0658 | 15.8986 |
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+ | 0.5295 | 13.0 | 4875 | 0.7595 | 0.0009 | 0.2052 | 0.0618 | 12.3528 |
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+ | 0.4977 | 14.0 | 5250 | 0.7766 | 0.0035 | 0.2177 | 0.0636 | 16.6706 |
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+ | 0.4818 | 15.0 | 5625 | 0.7802 | 0.0027 | 0.2097 | 0.0628 | 15.7496 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.1
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
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