| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: Xegho.30.4 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Xegho.30.4 |
|
|
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1814 |
| - Bleu: 87.4768 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 121 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 30 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | No log | 1.19 | 100 | 1.2331 | 23.9598 | |
| | No log | 2.38 | 200 | 0.7943 | 39.0191 | |
| | No log | 3.57 | 300 | 0.5889 | 42.0816 | |
| | No log | 4.76 | 400 | 0.4595 | 47.6986 | |
| | 1.0058 | 5.95 | 500 | 0.3801 | 49.9630 | |
| | 1.0058 | 7.14 | 600 | 0.3209 | 50.4290 | |
| | 1.0058 | 8.33 | 700 | 0.2848 | 51.1531 | |
| | 1.0058 | 9.52 | 800 | 0.2544 | 54.0631 | |
| | 1.0058 | 10.71 | 900 | 0.2338 | 56.3553 | |
| | 0.3559 | 11.9 | 1000 | 0.2224 | 59.7317 | |
| | 0.3559 | 13.1 | 1100 | 0.2110 | 62.2114 | |
| | 0.3559 | 14.29 | 1200 | 0.2060 | 63.4936 | |
| | 0.3559 | 15.48 | 1300 | 0.1994 | 63.7621 | |
| | 0.3559 | 16.67 | 1400 | 0.1959 | 63.3415 | |
| | 0.2423 | 17.86 | 1500 | 0.1932 | 63.7683 | |
| | 0.2423 | 19.05 | 1600 | 0.1898 | 64.2757 | |
| | 0.2423 | 20.24 | 1700 | 0.1901 | 64.2757 | |
| | 0.2423 | 21.43 | 1800 | 0.1875 | 64.1890 | |
| | 0.2423 | 22.62 | 1900 | 0.1852 | 63.8513 | |
| | 0.2051 | 23.81 | 2000 | 0.1837 | 64.4531 | |
| | 0.2051 | 25.0 | 2100 | 0.1829 | 64.4531 | |
| | 0.2051 | 26.19 | 2200 | 0.1818 | 64.6303 | |
| | 0.2051 | 27.38 | 2300 | 0.1817 | 64.6303 | |
| | 0.2051 | 28.57 | 2400 | 0.1816 | 65.0213 | |
| | 0.186 | 29.76 | 2500 | 0.1814 | 65.0213 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.18.0 |
| - Pytorch 1.11.0a0+17540c5 |
| - Datasets 2.1.0 |
| - Tokenizers 0.12.1 |
|
|
