metadata
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-absa-multitask-laptops
results: []
flan-t5-large-absa-multitask-laptops
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0625
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7161 | 0.32 | 200 | 0.2886 |
| 0.2835 | 0.63 | 400 | 0.1959 |
| 0.2043 | 0.95 | 600 | 0.1378 |
| 0.1379 | 1.26 | 800 | 0.1329 |
| 0.1174 | 1.58 | 1000 | 0.1180 |
| 0.1118 | 1.9 | 1200 | 0.0967 |
| 0.0739 | 2.21 | 1400 | 0.0947 |
| 0.0646 | 2.53 | 1600 | 0.1028 |
| 0.0639 | 2.84 | 1800 | 0.0797 |
| 0.0496 | 3.16 | 2000 | 0.0803 |
| 0.0405 | 3.48 | 2200 | 0.0795 |
| 0.04 | 3.79 | 2400 | 0.0653 |
| 0.0327 | 4.11 | 2600 | 0.0691 |
| 0.0293 | 4.42 | 2800 | 0.0631 |
| 0.0203 | 4.74 | 3000 | 0.0668 |
| 0.0257 | 5.06 | 3200 | 0.0575 |
| 0.0186 | 5.37 | 3400 | 0.0648 |
| 0.016 | 5.69 | 3600 | 0.0625 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2