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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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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: results_new |
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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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# results_new |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1269 |
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- Rouge1: 0.3870 |
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- Rouge2: 0.1916 |
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- Rougel: 0.3593 |
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- Rougelsum: 0.3586 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| No log | 1.0 | 9 | 2.1682 | 0.3687 | 0.1693 | 0.3411 | 0.3431 | |
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| No log | 2.0 | 18 | 2.1143 | 0.4078 | 0.2056 | 0.3808 | 0.3839 | |
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| No log | 3.0 | 27 | 2.1103 | 0.4159 | 0.2086 | 0.3826 | 0.3819 | |
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| No log | 4.0 | 36 | 2.1055 | 0.3910 | 0.2037 | 0.3696 | 0.3674 | |
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| No log | 5.0 | 45 | 2.0927 | 0.3841 | 0.1969 | 0.3631 | 0.3626 | |
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| No log | 6.0 | 54 | 2.0996 | 0.3726 | 0.1947 | 0.3545 | 0.3535 | |
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| No log | 7.0 | 63 | 2.1051 | 0.3757 | 0.1975 | 0.3571 | 0.3563 | |
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| No log | 8.0 | 72 | 2.1163 | 0.3897 | 0.1929 | 0.3667 | 0.3652 | |
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| No log | 9.0 | 81 | 2.1240 | 0.3836 | 0.1950 | 0.3554 | 0.3542 | |
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| No log | 10.0 | 90 | 2.1269 | 0.3870 | 0.1916 | 0.3593 | 0.3586 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cpu |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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