metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-absa-multitask-joint
results: []
flan-t5-base-absa-multitask-joint
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1276
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: 5e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5367 | 0.16 | 200 | 0.5267 |
| 0.5433 | 0.32 | 400 | 0.3377 |
| 0.3887 | 0.47 | 600 | 0.2688 |
| 0.3123 | 0.63 | 800 | 0.2205 |
| 0.2724 | 0.79 | 1000 | 0.2282 |
| 0.2627 | 0.95 | 1200 | 0.1881 |
| 0.2294 | 1.11 | 1400 | 0.1827 |
| 0.2221 | 1.27 | 1600 | 0.1844 |
| 0.1957 | 1.42 | 1800 | 0.1860 |
| 0.2007 | 1.58 | 2000 | 0.1674 |
| 0.1866 | 1.74 | 2200 | 0.1628 |
| 0.175 | 1.9 | 2400 | 0.1636 |
| 0.1637 | 2.06 | 2600 | 0.1506 |
| 0.1541 | 2.22 | 2800 | 0.1505 |
| 0.1484 | 2.37 | 3000 | 0.1465 |
| 0.1442 | 2.53 | 3200 | 0.1496 |
| 0.1338 | 2.69 | 3400 | 0.1355 |
| 0.1415 | 2.85 | 3600 | 0.1369 |
| 0.1435 | 3.01 | 3800 | 0.1343 |
| 0.1242 | 3.16 | 4000 | 0.1348 |
| 0.1227 | 3.32 | 4200 | 0.1328 |
| 0.1229 | 3.48 | 4400 | 0.1287 |
| 0.1272 | 3.64 | 4600 | 0.1280 |
| 0.1132 | 3.8 | 4800 | 0.1264 |
| 0.1131 | 3.96 | 5000 | 0.1276 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2