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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-search-terms |
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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-search-terms |
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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: 0.0077 |
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- Rouge1: 5.2275 |
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- Rouge2: 4.3657 |
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- Rougel: 4.8365 |
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- Rougelsum: 4.8414 |
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- Gen Len: 8.819 |
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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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| 0.0301 | 1.0 | 1500 | 0.0188 | 6.3132 | 5.5233 | 5.9306 | 5.9285 | 4.9403 | |
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| 0.0167 | 2.0 | 3000 | 0.0118 | 5.6248 | 4.8018 | 5.2386 | 5.238 | 7.2617 | |
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| 0.0136 | 3.0 | 4500 | 0.0093 | 5.2543 | 4.4034 | 4.8643 | 4.8675 | 8.599 | |
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| 0.0114 | 4.0 | 6000 | 0.0080 | 5.3013 | 4.448 | 4.9117 | 4.9183 | 8.5447 | |
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| 0.0105 | 5.0 | 7500 | 0.0077 | 5.2275 | 4.3657 | 4.8365 | 4.8414 | 8.819 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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