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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-asap_t3_f2_prompt_adherence |
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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-asap_t3_f2_prompt_adherence |
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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: 0.0625 |
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- Rouge1: 82.0051 |
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- Rouge2: 77.1041 |
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- Rougel: 81.9898 |
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- Rougelsum: 81.9754 |
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- Gen Len: 12.0580 |
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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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| No log | 1.0 | 259 | 0.0796 | 79.5698 | 74.2362 | 79.5637 | 79.5651 | 12.0333 | |
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| 0.4061 | 2.0 | 518 | 0.0661 | 81.7224 | 76.8264 | 81.7266 | 81.7555 | 12.0493 | |
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| 0.4061 | 3.0 | 777 | 0.0606 | 81.5783 | 76.5064 | 81.5455 | 81.5755 | 12.0580 | |
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| 0.0715 | 4.0 | 1036 | 0.0634 | 81.9213 | 77.0935 | 81.9101 | 81.9339 | 12.0551 | |
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| 0.0715 | 5.0 | 1295 | 0.0625 | 82.0051 | 77.1041 | 81.9898 | 81.9754 | 12.0580 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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