metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Gen_Z_Model
results: []
Gen_Z_Model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2083
- 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