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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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<!-- 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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# flan-t5-small-carvia_nlc2cmd_ver2 |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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### Framework versions |
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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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