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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: flanT5-description-generation |
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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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# flanT5-description-generation |
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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: 0.3688 |
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- Rouge1: 6.3055 |
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- Rouge2: 5.5351 |
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- Rougel: 5.9301 |
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- Rougelsum: 5.9371 |
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- Gen Len: 4.6041 |
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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 | 99 | 3.9741 | 7.1174 | 6.3701 | 6.7345 | 6.7347 | 2.4264 | |
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| No log | 2.0 | 198 | 1.6340 | 7.0189 | 6.2738 | 6.6359 | 6.6379 | 2.6142 | |
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| No log | 3.0 | 297 | 0.7071 | 6.887 | 6.1128 | 6.512 | 6.515 | 3.0406 | |
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| No log | 4.0 | 396 | 0.4279 | 6.0645 | 5.1995 | 5.6723 | 5.6926 | 5.5787 | |
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| No log | 5.0 | 495 | 0.3688 | 6.3055 | 5.5351 | 5.9301 | 5.9371 | 4.6041 | |
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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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