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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: longt5_xl_gov_memsum_25 |
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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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# longt5_xl_gov_memsum_25 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3918 |
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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: 0.001 |
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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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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 15.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4372 | 1.0 | 68 | 1.6270 | |
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| 0.3678 | 1.99 | 136 | 1.8330 | |
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| 0.3026 | 2.99 | 204 | 1.8467 | |
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| 0.2785 | 3.99 | 272 | 1.9830 | |
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| 0.2489 | 5.0 | 341 | 2.1279 | |
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| 0.181 | 6.0 | 409 | 2.2981 | |
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| 0.1753 | 6.99 | 477 | 2.3683 | |
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| 0.1511 | 7.99 | 545 | 2.3130 | |
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| 0.1483 | 8.99 | 613 | 2.5342 | |
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| 0.2277 | 10.0 | 682 | 2.3054 | |
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| 0.1952 | 10.99 | 750 | 2.2331 | |
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| 0.1773 | 11.99 | 818 | 2.1944 | |
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| 0.1524 | 12.99 | 886 | 2.3607 | |
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| 0.1373 | 14.0 | 955 | 2.3946 | |
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| 0.1238 | 14.95 | 1020 | 2.3918 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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