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license: apache-2.0 |
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base_model: agemagician/mlong-t5-tglobal-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: mlong-t5-tglobal-large |
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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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# mlong-t5-tglobal-large |
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This model is a fine-tuned version of [agemagician/mlong-t5-tglobal-large](https://huggingface.co/agemagician/mlong-t5-tglobal-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8858 |
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- Rouge1: 32.6402 |
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- Rouge2: 14.4404 |
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- Rougel: 24.6794 |
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- Rougelsum: 26.5654 |
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- Gen Len: 65.807 |
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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: 32 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | RougeL | RougeLSum | |
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|:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 2.5919 | 1.0 | 1050 | 61.5895 | 1.9940 | 30.603 | 12.7279 | 22.8958 | 24.5756 | |
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| 2.3025 | 2.0 | 2100 | 96.4781 | 1.9429 | 30.2088 | 12.8612 | 22.4477 | 24.6023 | |
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| 2.1456 | 3.0 | 3150 | 80.6381 | 1.8979 | 31.4743 | 13.8002 | 23.6389 | 25.7835 | |
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| 1.9977 | 4.0 | 4200 | 72.9752 | 1.8858 | 32.3099 | 14.3439 | 24.3416 | 26.2897 | |
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| 1.9059 | 5.0 | 5250 | 68.4971 | 1.8878 | 32.2531 | 14.0683 | 24.3766 | 26.1912 | |
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| 1.8521 | 6.0 | 6300 | 68.9524 | 1.8892 | 32.3429 | 14.0016 | 24.2874 | 26.3216 | |
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| 1.7472 | 7.0 | 7000 | 60.46 | 1.8865 | 32.8966 | 14.8847 | 25.1771 | 26.9613 | |
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| 1.7018 | 8.0 | 8000 | 65.807 | 1.8858 | 32.6402 | 14.4404 | 24.6794 | 26.5654 | |
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| 1.6337 | 9.0 | 9000 | 79.875 | 1.9019 | 32.2069 | 13.8683 | 24.0734 | 26.353 | |
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| 1.5773 | 10.0 | 10000 | 65.88 | 1.9043 | 32.8499 | 14.5395 | 24.8736 | 26.9515 | |
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| 1.5238 | 11.0 | 11000 | 63.208 | 1.9148 | 32.8182 | 14.322 | 24.7011 | 26.5718 | |
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| 1.4779 | 12.0 | 12000 | 63.937 | 1.9297 | 33.2751 | 14.7214 | 25.0329 | 26.9804 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
