| --- |
| license: apache-2.0 |
| base_model: t5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: Gen_Z_Model |
| 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. --> |
|
|
| # Gen_Z_Model |
|
|
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2083 |
| - Bleu: 38.8455 |
| - Gen Len: 15.0467 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 50 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | No log | 1.0 | 107 | 1.9909 | 28.2199 | 15.1893 | |
| | No log | 2.0 | 214 | 1.7933 | 32.7292 | 15.2734 | |
| | No log | 3.0 | 321 | 1.7042 | 33.0586 | 15.3575 | |
| | No log | 4.0 | 428 | 1.6409 | 33.5589 | 15.3294 | |
| | 1.9663 | 5.0 | 535 | 1.5944 | 34.0231 | 15.3084 | |
| | 1.9663 | 6.0 | 642 | 1.5542 | 34.5356 | 15.2453 | |
| | 1.9663 | 7.0 | 749 | 1.5204 | 34.5257 | 15.3178 | |
| | 1.9663 | 8.0 | 856 | 1.4949 | 35.0464 | 15.2664 | |
| | 1.9663 | 9.0 | 963 | 1.4656 | 34.8031 | 15.3692 | |
| | 1.563 | 10.0 | 1070 | 1.4452 | 34.8213 | 15.3248 | |
| | 1.563 | 11.0 | 1177 | 1.4273 | 34.8319 | 15.3715 | |
| | 1.563 | 12.0 | 1284 | 1.4041 | 34.6139 | 15.528 | |
| | 1.563 | 13.0 | 1391 | 1.3904 | 34.8305 | 15.4439 | |
| | 1.563 | 14.0 | 1498 | 1.3747 | 35.4972 | 15.5327 | |
| | 1.4209 | 15.0 | 1605 | 1.3619 | 35.7394 | 15.4322 | |
| | 1.4209 | 16.0 | 1712 | 1.3493 | 35.6452 | 15.4206 | |
| | 1.4209 | 17.0 | 1819 | 1.3369 | 35.8997 | 15.4276 | |
| | 1.4209 | 18.0 | 1926 | 1.3255 | 35.8844 | 15.4416 | |
| | 1.3222 | 19.0 | 2033 | 1.3168 | 35.8468 | 15.465 | |
| | 1.3222 | 20.0 | 2140 | 1.3074 | 36.3525 | 15.3621 | |
| | 1.3222 | 21.0 | 2247 | 1.2993 | 37.2694 | 15.2453 | |
| | 1.3222 | 22.0 | 2354 | 1.2925 | 37.3457 | 15.2593 | |
| | 1.3222 | 23.0 | 2461 | 1.2842 | 37.3279 | 15.236 | |
| | 1.2566 | 24.0 | 2568 | 1.2805 | 37.4183 | 15.2056 | |
| | 1.2566 | 25.0 | 2675 | 1.2750 | 37.7844 | 15.1939 | |
| | 1.2566 | 26.0 | 2782 | 1.2684 | 37.8613 | 15.1799 | |
| | 1.2566 | 27.0 | 2889 | 1.2626 | 37.8746 | 15.1519 | |
| | 1.2566 | 28.0 | 2996 | 1.2562 | 38.017 | 15.1495 | |
| | 1.1991 | 29.0 | 3103 | 1.2536 | 38.1961 | 15.1145 | |
| | 1.1991 | 30.0 | 3210 | 1.2473 | 38.2285 | 15.0981 | |
| | 1.1991 | 31.0 | 3317 | 1.2429 | 38.214 | 15.1028 | |
| | 1.1991 | 32.0 | 3424 | 1.2397 | 38.5427 | 15.0467 | |
| | 1.1655 | 33.0 | 3531 | 1.2353 | 38.2303 | 15.1121 | |
| | 1.1655 | 34.0 | 3638 | 1.2344 | 38.5399 | 15.1285 | |
| | 1.1655 | 35.0 | 3745 | 1.2288 | 38.4536 | 15.1005 | |
| | 1.1655 | 36.0 | 3852 | 1.2263 | 38.7325 | 15.0794 | |
| | 1.1655 | 37.0 | 3959 | 1.2237 | 38.7098 | 15.1051 | |
| | 1.1306 | 38.0 | 4066 | 1.2202 | 38.6696 | 15.1215 | |
| | 1.1306 | 39.0 | 4173 | 1.2182 | 38.8038 | 15.0771 | |
| | 1.1306 | 40.0 | 4280 | 1.2171 | 38.846 | 15.0561 | |
| | 1.1306 | 41.0 | 4387 | 1.2162 | 38.7233 | 15.0257 | |
| | 1.1306 | 42.0 | 4494 | 1.2144 | 38.7516 | 15.0327 | |
| | 1.1103 | 43.0 | 4601 | 1.2136 | 39.1562 | 15.0304 | |
| | 1.1103 | 44.0 | 4708 | 1.2115 | 38.9924 | 15.021 | |
| | 1.1103 | 45.0 | 4815 | 1.2104 | 39.0094 | 15.035 | |
| | 1.1103 | 46.0 | 4922 | 1.2097 | 38.9355 | 15.0421 | |
| | 1.0979 | 47.0 | 5029 | 1.2087 | 38.8939 | 15.0561 | |
| | 1.0979 | 48.0 | 5136 | 1.2087 | 38.8412 | 15.0491 | |
| | 1.0979 | 49.0 | 5243 | 1.2084 | 38.8575 | 15.0561 | |
| | 1.0979 | 50.0 | 5350 | 1.2083 | 38.8455 | 15.0467 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.31.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.3 |
| - Tokenizers 0.13.3 |
|
|
