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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-samsum |
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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-samsum |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6307 |
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- Rouge1: 43.9705 |
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- Rouge2: 19.625 |
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- Rougel: 36.5169 |
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- Rougelsum: 39.991 |
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- Gen Len: 16.8034 |
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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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| 1.8232 | 1.0 | 1842 | 1.6649 | 42.84 | 18.7134 | 35.4575 | 39.1611 | 16.9060 | |
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| 1.7366 | 2.0 | 3684 | 1.6412 | 43.3041 | 18.979 | 35.8757 | 39.4089 | 16.9121 | |
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| 1.6958 | 3.0 | 5526 | 1.6357 | 43.4414 | 19.1581 | 36.0299 | 39.5906 | 16.7937 | |
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| 1.6619 | 4.0 | 7368 | 1.6327 | 43.7014 | 19.441 | 36.3343 | 39.8082 | 16.8449 | |
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| 1.6362 | 5.0 | 9210 | 1.6307 | 43.9705 | 19.625 | 36.5169 | 39.991 | 16.8034 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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