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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_govreport_4096_memsum_e20 |
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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_govreport_4096_memsum_e20 |
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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: 2.4413 |
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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: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4496 | 1.0 | 68 | 1.8158 | |
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| 0.3462 | 1.99 | 136 | 1.7510 | |
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| 0.3171 | 2.99 | 204 | 1.8821 | |
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| 0.2761 | 3.99 | 272 | 2.0322 | |
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| 0.2338 | 5.0 | 341 | 2.0432 | |
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| 0.1998 | 6.0 | 409 | 2.2008 | |
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| 0.1512 | 6.99 | 477 | 2.3444 | |
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| 0.1618 | 7.99 | 545 | 2.3309 | |
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| 0.1392 | 8.99 | 613 | 2.4437 | |
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| 0.1271 | 9.97 | 680 | 2.4413 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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