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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_mt5-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_mt5-small_10_spider
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4350
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- Rouge2 Precision: 0.3068
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- Rouge2 Recall: 0.202
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- Rouge2 Fmeasure: 0.2177
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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 | 4.5527 | 0.0024 | 0.001 | 0.0014 |
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| 17.6146 | 2.0 | 876 | 1.6584 | 0.0 | 0.0 | 0.0 |
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| 2.53 | 3.0 | 1314 | 1.5698 | 0.0 | 0.0 | 0.0 |
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| 1.9045 | 4.0 | 1752 | 1.3153 | 0.0206 | 0.0074 | 0.0106 |
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| 1.5088 | 5.0 | 2190 | 0.6748 | 0.1009 | 0.056 | 0.0623 |
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| 0.8005 | 6.0 | 2628 | 0.5124 | 0.2301 | 0.1513 | 0.1593 |
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| 0.5297 | 7.0 | 3066 | 0.4683 | 0.2899 | 0.1903 | 0.2021 |
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| 0.4507 | 8.0 | 3504 | 0.4464 | 0.2966 | 0.2016 | 0.2129 |
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| 0.4507 | 9.0 | 3942 | 0.4385 | 0.3125 | 0.2065 | 0.2224 |
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| 0.4161 | 10.0 | 4380 | 0.4350 | 0.3068 | 0.202 | 0.2177 |
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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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