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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_f0_pa |
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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_f0_pa |
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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: 0.0564 |
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- Rouge1: 83.5868 |
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- Rouge2: 79.2034 |
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- Rougel: 83.6443 |
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- Rougelsum: 83.6385 |
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- Gen Len: 12.0478 |
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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 | 0.0883 | 78.5864 | 72.6388 | 78.5689 | 78.5751 | 12.0072 | |
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| 0.3997 | 2.0 | 518 | 0.0670 | 82.2729 | 77.3733 | 82.2731 | 82.3003 | 12.0232 | |
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| 0.3997 | 3.0 | 777 | 0.0580 | 83.4593 | 78.9471 | 83.5089 | 83.5189 | 12.0464 | |
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| 0.0732 | 4.0 | 1036 | 0.0570 | 83.5601 | 79.1687 | 83.5758 | 83.5695 | 12.0551 | |
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| 0.0732 | 5.0 | 1295 | 0.0564 | 83.5868 | 79.2034 | 83.6443 | 83.6385 | 12.0478 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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