t5-small-text-simplification_1e4_adafactor
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4541
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8842 | 1.0 | 582 | 0.4651 |
| 0.5737 | 2.0 | 1164 | 0.4611 |
| 0.5559 | 3.0 | 1746 | 0.4585 |
| 0.548 | 4.0 | 2328 | 0.4573 |
| 0.541 | 5.0 | 2910 | 0.4565 |
| 0.5349 | 6.0 | 3492 | 0.4564 |
| 0.5257 | 7.0 | 4074 | 0.4552 |
| 0.5223 | 8.0 | 4656 | 0.4558 |
| 0.5185 | 9.0 | 5238 | 0.4550 |
| 0.5145 | 10.0 | 5820 | 0.4544 |
| 0.5166 | 11.0 | 6402 | 0.4551 |
| 0.5104 | 12.0 | 6984 | 0.4546 |
| 0.5089 | 13.0 | 7566 | 0.4547 |
| 0.5054 | 14.0 | 8148 | 0.4544 |
| 0.5047 | 15.0 | 8730 | 0.4544 |
| 0.5043 | 16.0 | 9312 | 0.4537 |
| 0.5021 | 17.0 | 9894 | 0.4539 |
| 0.5034 | 18.0 | 10476 | 0.4539 |
| 0.5008 | 19.0 | 11058 | 0.4541 |
| 0.5003 | 20.0 | 11640 | 0.4541 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3