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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-large |
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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-large-mawpnli-calcx-nli-pt |
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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-large-mawpnli-calcx-nli-pt |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1217 |
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- Rouge1: 95.7098 |
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- Rouge2: 89.9271 |
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- Rougel: 95.5836 |
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- Rougelsum: 95.5842 |
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- Gen Len: 10.9151 |
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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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| 0.2279 | 1.0 | 819 | 0.1290 | 95.075 | 87.8764 | 94.7902 | 94.8057 | 10.7978 | |
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| 0.0612 | 2.0 | 1638 | 0.1012 | 95.6219 | 89.6809 | 95.4399 | 95.4521 | 10.9029 | |
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| 0.0418 | 3.0 | 2457 | 0.0972 | 95.7709 | 90.1703 | 95.613 | 95.637 | 10.9328 | |
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| 0.0272 | 4.0 | 3276 | 0.1174 | 95.7478 | 90.1332 | 95.5931 | 95.6069 | 10.9395 | |
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| 0.0215 | 5.0 | 4095 | 0.1217 | 95.7098 | 89.9271 | 95.5836 | 95.5842 | 10.9151 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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