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.gitignore ADDED
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+ checkpoint-*/
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/flan-t5-small
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: flan-t5-small-carvia_nlc2cmd_ver2
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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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+ # flan-t5-small-carvia_nlc2cmd_ver2
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+
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1225
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+ - Rouge1: 83.9262
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+ - Rouge2: 59.9956
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+ - Rougel: 83.9262
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+ - Rougelsum: 83.9381
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+ - Gen Len: 19.0
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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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+ - 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 0.1152 | 1.0 | 1625 | 0.1225 | 83.9262 | 59.9956 | 83.9262 | 83.9381 | 19.0 |
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+ | 0.1126 | 2.0 | 3250 | 0.1560 | 79.3619 | 51.4444 | 79.3857 | 79.3357 | 19.0 |
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+ | 0.1083 | 3.0 | 4875 | 0.1682 | 80.4274 | 53.4222 | 80.4655 | 80.4167 | 19.0 |
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+ | 0.1066 | 4.0 | 6500 | 0.1785 | 79.3393 | 51.3667 | 79.3524 | 79.2964 | 19.0 |
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+ | 0.1079 | 5.0 | 8125 | 0.1793 | 79.3119 | 51.3222 | 79.3357 | 79.2833 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.3
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+ - Tokenizers 0.13.3
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