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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.30.2 |
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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.30.2 |
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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: 0.1632 |
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- Bleu: 91.1608 |
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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: 2 |
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- eval_batch_size: 2 |
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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 | 0.6 | 100 | 1.4767 | 23.2970 | |
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| No log | 1.19 | 200 | 1.0102 | 34.8884 | |
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| No log | 1.79 | 300 | 0.7680 | 39.9415 | |
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| No log | 2.38 | 400 | 0.6129 | 42.4210 | |
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| 1.2252 | 2.98 | 500 | 0.4962 | 46.5901 | |
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| 1.2252 | 3.57 | 600 | 0.4293 | 48.9165 | |
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| 1.2252 | 4.17 | 700 | 0.3698 | 50.4146 | |
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| 1.2252 | 4.76 | 800 | 0.3194 | 52.4519 | |
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| 1.2252 | 5.36 | 900 | 0.2836 | 53.0005 | |
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| 0.463 | 5.95 | 1000 | 0.2635 | 55.5264 | |
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| 0.463 | 6.55 | 1100 | 0.2444 | 57.7553 | |
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| 0.463 | 7.14 | 1200 | 0.2262 | 60.8152 | |
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| 0.463 | 7.74 | 1300 | 0.2205 | 60.3349 | |
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| 0.463 | 8.33 | 1400 | 0.2082 | 62.5781 | |
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| 0.297 | 8.93 | 1500 | 0.2045 | 62.9341 | |
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| 0.297 | 9.52 | 1600 | 0.1969 | 63.9225 | |
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| 0.297 | 10.12 | 1700 | 0.1939 | 63.9559 | |
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| 0.297 | 10.71 | 1800 | 0.1842 | 66.0123 | |
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| 0.297 | 11.31 | 1900 | 0.1836 | 65.7767 | |
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| 0.2403 | 11.9 | 2000 | 0.1807 | 65.1204 | |
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| 0.2403 | 12.5 | 2100 | 0.1778 | 65.5556 | |
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| 0.2403 | 13.1 | 2200 | 0.1753 | 66.2715 | |
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| 0.2403 | 13.69 | 2300 | 0.1728 | 67.0917 | |
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| 0.2403 | 14.29 | 2400 | 0.1716 | 67.2965 | |
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| 0.1976 | 14.88 | 2500 | 0.1719 | 66.5856 | |
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| 0.1976 | 15.48 | 2600 | 0.1706 | 66.7707 | |
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| 0.1976 | 16.07 | 2700 | 0.1698 | 66.8323 | |
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| 0.1976 | 16.67 | 2800 | 0.1705 | 66.8579 | |
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| 0.1976 | 17.26 | 2900 | 0.1663 | 67.3175 | |
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| 0.1747 | 17.86 | 3000 | 0.1671 | 68.2097 | |
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| 0.1747 | 18.45 | 3100 | 0.1681 | 68.1515 | |
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| 0.1747 | 19.05 | 3200 | 0.1650 | 68.6221 | |
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| 0.1747 | 19.64 | 3300 | 0.1643 | 68.6828 | |
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| 0.1747 | 20.24 | 3400 | 0.1662 | 68.9329 | |
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| 0.1626 | 20.83 | 3500 | 0.1644 | 68.9651 | |
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| 0.1626 | 21.43 | 3600 | 0.1660 | 68.6685 | |
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| 0.1626 | 22.02 | 3700 | 0.1640 | 68.7471 | |
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| 0.1626 | 22.62 | 3800 | 0.1630 | 68.6685 | |
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| 0.1626 | 23.21 | 3900 | 0.1637 | 68.6835 | |
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| 0.1437 | 23.81 | 4000 | 0.1632 | 68.5208 | |
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| 0.1437 | 24.4 | 4100 | 0.1640 | 68.5059 | |
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| 0.1437 | 25.0 | 4200 | 0.1645 | 68.5059 | |
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| 0.1437 | 25.6 | 4300 | 0.1639 | 68.5059 | |
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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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