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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_40 |
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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_40 |
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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: 3.0292 |
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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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| 0.0689 | 1.0 | 68 | 2.9102 | |
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| 0.0658 | 1.99 | 136 | 2.8207 | |
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| 0.0549 | 2.99 | 204 | 2.8665 | |
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| 0.0552 | 3.99 | 272 | 2.8846 | |
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| 0.0534 | 5.0 | 341 | 2.7891 | |
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| 0.0465 | 6.0 | 409 | 3.0601 | |
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| 0.0494 | 6.99 | 477 | 2.9361 | |
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| 0.0477 | 7.99 | 545 | 2.9819 | |
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| 0.0463 | 8.99 | 613 | 3.0402 | |
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| 0.0642 | 10.0 | 682 | 2.9308 | |
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| 0.0601 | 10.99 | 750 | 2.8829 | |
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| 0.0577 | 11.99 | 818 | 2.8970 | |
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| 0.0529 | 12.99 | 886 | 2.9596 | |
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| 0.051 | 14.0 | 955 | 2.9287 | |
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| 0.0514 | 14.95 | 1020 | 3.0292 | |
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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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