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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: t5-base-extraction-cnndm_fs0.05-all
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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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# t5-base-extraction-cnndm_fs0.05-all
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7605
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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: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 1799
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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: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.3409 | 0.45 | 200 | 1.9264 |
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| 2.0082 | 0.9 | 400 | 1.8570 |
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| 1.9247 | 1.35 | 600 | 1.8290 |
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| 1.8895 | 1.81 | 800 | 1.8162 |
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| 1.8625 | 2.26 | 1000 | 1.8015 |
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| 1.8354 | 2.71 | 1200 | 1.7894 |
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| 1.8013 | 3.16 | 1400 | 1.7824 |
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| 1.7901 | 3.61 | 1600 | 1.7796 |
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| 1.7769 | 4.06 | 1800 | 1.7807 |
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| 1.7661 | 4.51 | 2000 | 1.7646 |
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| 1.7536 | 4.97 | 2200 | 1.7605 |
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| 1.9045 | 5.42 | 2400 | 2.1358 |
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| 2.4322 | 5.87 | 2600 | 2.3688 |
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| 2.4809 | 6.32 | 2800 | 2.3622 |
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| 2.4628 | 6.77 | 3000 | 2.3625 |
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| 2.4676 | 7.22 | 3200 | 2.3639 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.5.1
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- Tokenizers 0.12.1
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