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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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: genz_model2 |
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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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# genz_model2 |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1282 |
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- Bleu: 40.1672 |
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- Gen Len: 15.25 |
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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: 2e-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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 107 | 1.9410 | 28.2848 | 15.4509 | |
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| No log | 2.0 | 214 | 1.7415 | 32.3881 | 15.3645 | |
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| No log | 3.0 | 321 | 1.6506 | 32.8796 | 15.5374 | |
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| No log | 4.0 | 428 | 1.5856 | 33.1982 | 15.5748 | |
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| 1.9676 | 5.0 | 535 | 1.5352 | 34.3335 | 15.4556 | |
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| 1.9676 | 6.0 | 642 | 1.4929 | 34.962 | 15.5187 | |
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| 1.9676 | 7.0 | 749 | 1.4595 | 35.459 | 15.535 | |
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| 1.9676 | 8.0 | 856 | 1.4316 | 35.6253 | 15.5421 | |
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| 1.9676 | 9.0 | 963 | 1.4066 | 35.9011 | 15.4953 | |
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| 1.5695 | 10.0 | 1070 | 1.3838 | 36.5102 | 15.4907 | |
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| 1.5695 | 11.0 | 1177 | 1.3608 | 36.2464 | 15.5631 | |
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| 1.5695 | 12.0 | 1284 | 1.3410 | 36.3368 | 15.5748 | |
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| 1.5695 | 13.0 | 1391 | 1.3238 | 37.2607 | 15.493 | |
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| 1.5695 | 14.0 | 1498 | 1.3092 | 36.9306 | 15.5234 | |
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| 1.4322 | 15.0 | 1605 | 1.2943 | 37.2516 | 15.5701 | |
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| 1.4322 | 16.0 | 1712 | 1.2812 | 37.9106 | 15.4696 | |
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| 1.4322 | 17.0 | 1819 | 1.2694 | 38.0468 | 15.4907 | |
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| 1.4322 | 18.0 | 1926 | 1.2559 | 38.0982 | 15.4836 | |
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| 1.3384 | 19.0 | 2033 | 1.2455 | 38.5418 | 15.4556 | |
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| 1.3384 | 20.0 | 2140 | 1.2375 | 38.2567 | 15.4463 | |
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| 1.3384 | 21.0 | 2247 | 1.2285 | 38.3496 | 15.3972 | |
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| 1.3384 | 22.0 | 2354 | 1.2182 | 38.6696 | 15.4393 | |
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| 1.3384 | 23.0 | 2461 | 1.2092 | 38.6524 | 15.4182 | |
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| 1.2646 | 24.0 | 2568 | 1.2013 | 38.5694 | 15.4346 | |
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| 1.2646 | 25.0 | 2675 | 1.1947 | 38.8347 | 15.4065 | |
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| 1.2646 | 26.0 | 2782 | 1.1893 | 38.7466 | 15.3738 | |
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| 1.2646 | 27.0 | 2889 | 1.1840 | 38.8294 | 15.3855 | |
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| 1.2646 | 28.0 | 2996 | 1.1795 | 38.8043 | 15.3738 | |
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| 1.2144 | 29.0 | 3103 | 1.1722 | 38.9285 | 15.3995 | |
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| 1.2144 | 30.0 | 3210 | 1.1691 | 39.1174 | 15.3435 | |
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| 1.2144 | 31.0 | 3317 | 1.1646 | 39.2841 | 15.3341 | |
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| 1.2144 | 32.0 | 3424 | 1.1612 | 39.1613 | 15.2687 | |
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| 1.1741 | 33.0 | 3531 | 1.1581 | 39.2741 | 15.2921 | |
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| 1.1741 | 34.0 | 3638 | 1.1528 | 39.3863 | 15.3014 | |
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| 1.1741 | 35.0 | 3745 | 1.1501 | 39.5385 | 15.264 | |
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| 1.1741 | 36.0 | 3852 | 1.1465 | 39.7548 | 15.2897 | |
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| 1.1741 | 37.0 | 3959 | 1.1448 | 39.8433 | 15.25 | |
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| 1.1518 | 38.0 | 4066 | 1.1415 | 39.8777 | 15.2243 | |
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| 1.1518 | 39.0 | 4173 | 1.1398 | 40.0676 | 15.2453 | |
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| 1.1518 | 40.0 | 4280 | 1.1384 | 40.0178 | 15.2033 | |
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| 1.1518 | 41.0 | 4387 | 1.1348 | 39.8617 | 15.278 | |
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| 1.1518 | 42.0 | 4494 | 1.1336 | 39.9387 | 15.2664 | |
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| 1.1216 | 43.0 | 4601 | 1.1322 | 40.1468 | 15.257 | |
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| 1.1216 | 44.0 | 4708 | 1.1314 | 40.0534 | 15.257 | |
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| 1.1216 | 45.0 | 4815 | 1.1305 | 40.1604 | 15.257 | |
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| 1.1216 | 46.0 | 4922 | 1.1297 | 40.1344 | 15.2523 | |
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| 1.112 | 47.0 | 5029 | 1.1290 | 40.1921 | 15.2617 | |
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| 1.112 | 48.0 | 5136 | 1.1285 | 40.2545 | 15.25 | |
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| 1.112 | 49.0 | 5243 | 1.1283 | 40.1672 | 15.25 | |
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| 1.112 | 50.0 | 5350 | 1.1282 | 40.1672 | 15.25 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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