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update model card README.md
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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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metrics:
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- bleu
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model-index:
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- name: Xegho.30.4
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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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# Xegho.30.4
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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: 0.1814
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- Bleu: 87.4768
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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: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 121
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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: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| No log | 1.19 | 100 | 1.2331 | 23.9598 |
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| No log | 2.38 | 200 | 0.7943 | 39.0191 |
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| No log | 3.57 | 300 | 0.5889 | 42.0816 |
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| No log | 4.76 | 400 | 0.4595 | 47.6986 |
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| 1.0058 | 5.95 | 500 | 0.3801 | 49.9630 |
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| 1.0058 | 7.14 | 600 | 0.3209 | 50.4290 |
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| 1.0058 | 8.33 | 700 | 0.2848 | 51.1531 |
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| 1.0058 | 9.52 | 800 | 0.2544 | 54.0631 |
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| 1.0058 | 10.71 | 900 | 0.2338 | 56.3553 |
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| 0.3559 | 11.9 | 1000 | 0.2224 | 59.7317 |
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| 0.3559 | 13.1 | 1100 | 0.2110 | 62.2114 |
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| 0.3559 | 14.29 | 1200 | 0.2060 | 63.4936 |
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| 0.3559 | 15.48 | 1300 | 0.1994 | 63.7621 |
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| 0.3559 | 16.67 | 1400 | 0.1959 | 63.3415 |
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| 0.2423 | 17.86 | 1500 | 0.1932 | 63.7683 |
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| 0.2423 | 19.05 | 1600 | 0.1898 | 64.2757 |
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| 0.2423 | 20.24 | 1700 | 0.1901 | 64.2757 |
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| 0.2423 | 21.43 | 1800 | 0.1875 | 64.1890 |
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| 0.2423 | 22.62 | 1900 | 0.1852 | 63.8513 |
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| 0.2051 | 23.81 | 2000 | 0.1837 | 64.4531 |
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| 0.2051 | 25.0 | 2100 | 0.1829 | 64.4531 |
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| 0.2051 | 26.19 | 2200 | 0.1818 | 64.6303 |
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| 0.2051 | 27.38 | 2300 | 0.1817 | 64.6303 |
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| 0.2051 | 28.57 | 2400 | 0.1816 | 65.0213 |
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| 0.186 | 29.76 | 2500 | 0.1814 | 65.0213 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.11.0a0+17540c5
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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