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README.md
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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: EN_t5-small_10_spider
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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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# EN_t5-small_10_spider
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5052
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- Rouge2 Precision: 0.4842
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- Rouge2 Recall: 0.3056
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- Rouge2 Fmeasure: 0.3504
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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: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| No log | 1.0 | 438 | 0.5472 | 0.3074 | 0.216 | 0.2252 |
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| 1.0392 | 2.0 | 876 | 0.4983 | 0.3811 | 0.2468 | 0.2738 |
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| 0.3686 | 3.0 | 1314 | 0.5082 | 0.4151 | 0.2587 | 0.2955 |
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| 0.3023 | 4.0 | 1752 | 0.4882 | 0.4484 | 0.2716 | 0.3148 |
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| 0.2571 | 5.0 | 2190 | 0.4744 | 0.458 | 0.2785 | 0.3233 |
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| 0.2369 | 6.0 | 2628 | 0.4777 | 0.4734 | 0.2959 | 0.3402 |
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| 0.2208 | 7.0 | 3066 | 0.5062 | 0.4811 | 0.2987 | 0.3445 |
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| 0.2095 | 8.0 | 3504 | 0.4881 | 0.4923 | 0.3113 | 0.3572 |
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| 0.2095 | 9.0 | 3942 | 0.5006 | 0.4843 | 0.3047 | 0.3498 |
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| 0.2013 | 10.0 | 4380 | 0.5052 | 0.4842 | 0.3056 | 0.3504 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.7.dev0
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- Tokenizers 0.13.3
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