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finalgenz
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2203
- Bleu: 40.3273
- Gen Len: 15.1799
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 | 1.9829 | 29.4484 | 15.4626 |
| No log | 2.0 | 214 | 1.7854 | 34.3033 | 15.3762 |
| No log | 3.0 | 321 | 1.6918 | 34.328 | 15.6005 |
| No log | 4.0 | 428 | 1.6259 | 34.9122 | 15.6355 |
| 1.9708 | 5.0 | 535 | 1.5824 | 35.7506 | 15.5234 |
| 1.9708 | 6.0 | 642 | 1.5423 | 36.1821 | 15.5631 |
| 1.9708 | 7.0 | 749 | 1.5127 | 36.4014 | 15.5935 |
| 1.9708 | 8.0 | 856 | 1.4867 | 36.6811 | 15.5023 |
| 1.9708 | 9.0 | 963 | 1.4611 | 36.7295 | 15.493 |
| 1.5688 | 10.0 | 1070 | 1.4387 | 36.7706 | 15.4533 |
| 1.5688 | 11.0 | 1177 | 1.4229 | 37.2131 | 15.3808 |
| 1.5688 | 12.0 | 1284 | 1.4026 | 36.7912 | 15.3879 |
| 1.5688 | 13.0 | 1391 | 1.3865 | 37.3493 | 15.3435 |
| 1.5688 | 14.0 | 1498 | 1.3732 | 37.5175 | 15.3528 |
| 1.4261 | 15.0 | 1605 | 1.3587 | 37.2673 | 15.2827 |
| 1.4261 | 16.0 | 1712 | 1.3476 | 37.432 | 15.3668 |
| 1.4261 | 17.0 | 1819 | 1.3386 | 37.7461 | 15.3318 |
| 1.4261 | 18.0 | 1926 | 1.3277 | 37.2703 | 15.3598 |
| 1.3271 | 19.0 | 2033 | 1.3173 | 37.2506 | 15.4463 |
| 1.3271 | 20.0 | 2140 | 1.3120 | 38.1016 | 15.3294 |
| 1.3271 | 21.0 | 2247 | 1.3060 | 38.2439 | 15.285 |
| 1.3271 | 22.0 | 2354 | 1.2969 | 38.2214 | 15.3341 |
| 1.3271 | 23.0 | 2461 | 1.2901 | 38.3322 | 15.2921 |
| 1.2495 | 24.0 | 2568 | 1.2821 | 38.4395 | 15.3037 |
| 1.2495 | 25.0 | 2675 | 1.2780 | 38.483 | 15.2523 |
| 1.2495 | 26.0 | 2782 | 1.2722 | 38.5899 | 15.278 |
| 1.2495 | 27.0 | 2889 | 1.2682 | 38.7772 | 15.2103 |
| 1.2495 | 28.0 | 2996 | 1.2635 | 38.964 | 15.2126 |
| 1.1999 | 29.0 | 3103 | 1.2576 | 39.236 | 15.215 |
| 1.1999 | 30.0 | 3210 | 1.2532 | 38.9925 | 15.1752 |
| 1.1999 | 31.0 | 3317 | 1.2509 | 38.8058 | 15.1986 |
| 1.1999 | 32.0 | 3424 | 1.2474 | 39.1842 | 15.2173 |
| 1.1609 | 33.0 | 3531 | 1.2425 | 39.6325 | 15.2547 |
| 1.1609 | 34.0 | 3638 | 1.2405 | 39.5175 | 15.2407 |
| 1.1609 | 35.0 | 3745 | 1.2371 | 39.4547 | 15.222 |
| 1.1609 | 36.0 | 3852 | 1.2363 | 39.3411 | 15.1986 |
| 1.1609 | 37.0 | 3959 | 1.2341 | 39.5572 | 15.2266 |
| 1.1278 | 38.0 | 4066 | 1.2306 | 39.7315 | 15.243 |
| 1.1278 | 39.0 | 4173 | 1.2299 | 39.9935 | 15.2383 |
| 1.1278 | 40.0 | 4280 | 1.2283 | 39.8349 | 15.2033 |
| 1.1278 | 41.0 | 4387 | 1.2257 | 40.0669 | 15.2196 |
| 1.1278 | 42.0 | 4494 | 1.2247 | 39.8818 | 15.2079 |
| 1.107 | 43.0 | 4601 | 1.2241 | 40.2504 | 15.1846 |
| 1.107 | 44.0 | 4708 | 1.2225 | 40.2175 | 15.2126 |
| 1.107 | 45.0 | 4815 | 1.2219 | 40.1115 | 15.2009 |
| 1.107 | 46.0 | 4922 | 1.2212 | 40.1396 | 15.1916 |
| 1.0941 | 47.0 | 5029 | 1.2208 | 40.1478 | 15.1963 |
| 1.0941 | 48.0 | 5136 | 1.2205 | 40.171 | 15.1846 |
| 1.0941 | 49.0 | 5243 | 1.2203 | 40.2113 | 15.1659 |
| 1.0941 | 50.0 | 5350 | 1.2203 | 40.3273 | 15.1799 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
