File size: 4,661 Bytes
7fef12b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
---
license: mit
base_model: unicamp-dl/ptt5-base-portuguese-vocab
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ptt5-wikilingua-1024
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. -->
# ptt5-wikilingua-1024
This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co./unicamp-dl/ptt5-base-portuguese-vocab) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8346
- Rouge1: 26.0293
- Rouge2: 11.2397
- Rougel: 22.2357
- Rougelsum: 25.393
- Gen Len: 18.4771
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:------:|:-------:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.0816 | 1.0 | 28580 | 18.168 | 1.9680 | 23.8868 | 9.5463 | 20.5459 | 23.3329 |
| 1.9469 | 2.0 | 57160 | 18.3899 | 1.9000 | 24.7191 | 10.1206 | 21.165 | 24.1349 |
| 1.9482 | 3.0 | 85740 | 18.3192 | 1.8655 | 24.9016 | 10.3913 | 21.325 | 24.3342 |
| 1.808 | 4.0 | 114320 | 18.3628 | 1.8422 | 25.3346 | 10.7062 | 21.6946 | 24.764 |
| 1.7811 | 5.0 | 142900 | 18.2808 | 1.8304 | 25.3047 | 10.7773 | 21.7447 | 24.7572 |
| 1.7676 | 6.0 | 171480 | 18.3839 | 1.8161 | 25.5816 | 10.9429 | 21.9072 | 24.9958 |
| 1.6651 | 7.0 | 200060 | 18.3506 | 1.8081 | 25.5281 | 10.9006 | 21.8813 | 24.9432 |
| 1.6461 | 8.0 | 228640 | 18.39 | 1.8047 | 25.6912 | 10.9803 | 21.9881 | 25.1059 |
| 1.6942 | 9.0 | 257220 | 18.3609 | 1.8004 | 25.7941 | 11.0952 | 22.1048 | 25.2158 |
| 1.6389 | 10.0 | 285800 | 18.3792 | 1.7971 | 25.8327 | 11.1257 | 22.1268 | 25.2338 |
| 1.6152 | 11.0 | 314380 | 18.4059 | 1.7964 | 25.7519 | 11.1059 | 22.1061 | 25.178 |
| 1.6127 | 12.0 | 342960 | 18.3953 | 1.7974 | 25.9198 | 11.218 | 22.2459 | 25.3411 |
| 1.5946 | 13.0 | 371540 | 18.4025 | 1.8020 | 26.0687 | 11.3053 | 22.3127 | 25.4836 |
| 1.5988 | 14.0 | 400120 | 18.4376 | 1.8034 | 25.9518 | 11.1943 | 22.233 | 25.3327 |
| 1.5474 | 15.0 | 428700 | 18.4397 | 1.8008 | 26.0176 | 11.2425 | 22.2723 | 25.4065 |
| 1.5135 | 16.0 | 457280 | 18.441 | 1.7997 | 26.0409 | 11.2593 | 22.2739 | 25.4333 |
| 1.563 | 17.0 | 485860 | 18.4556 | 1.8130 | 26.0385 | 11.2479 | 22.2757 | 25.4155 |
| 1.4997 | 18.0 | 514440 | 18.4048 | 1.8098 | 25.9907 | 11.2433 | 22.2378 | 25.3589 |
| 1.4414 | 19.0 | 543020 | 18.4738 | 1.8161 | 26.0156 | 11.209 | 22.2514 | 25.3623 |
| 1.4487 | 20.0 | 571600 | 18.4353 | 1.8128 | 26.0583 | 11.2856 | 22.2673 | 25.4279 |
| 1.4434 | 21.0 | 600180 | 18.448 | 1.8189 | 25.9673 | 11.2448 | 22.1904 | 25.3287 |
| 1.4699 | 22.0 | 628760 | 18.4698 | 1.8188 | 26.0581 | 11.288 | 22.2603 | 25.4347 |
| 1.4282 | 23.0 | 657340 | 18.4548 | 1.8235 | 25.9654 | 11.1782 | 22.2008 | 25.3327 |
| 1.4411 | 24.0 | 685920 | 18.4547 | 1.8265 | 26.1178 | 11.3101 | 22.3081 | 25.474 |
| 1.3912 | 25.0 | 714500 | 1.8309 | 26.0667 | 11.2725 | 22.2863 | 25.4394 | 18.4705 |
| 1.4061 | 26.0 | 743080 | 1.8309 | 26.0472 | 11.2591 | 22.2589 | 25.4179 | 18.4803 |
| 1.4594 | 27.0 | 771660 | 1.8289 | 26.0164 | 11.2367 | 22.2239 | 25.3929 | 18.4811 |
| 1.3836 | 28.0 | 800240 | 1.8323 | 26.0416 | 11.2521 | 22.2303 | 25.4106 | 18.4734 |
| 1.4051 | 29.0 | 828820 | 1.8349 | 26.0081 | 11.2332 | 22.213 | 25.3822 | 18.4797 |
| 1.3833 | 30.0 | 857400 | 1.8346 | 26.0293 | 11.2397 | 22.2357 | 25.393 | 18.4771 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
|