metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-absa-multitask-laptops
results: []
flan-t5-base-absa-multitask-laptops
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1244
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 |
|---|---|---|---|
| 2.0145 | 0.32 | 200 | 0.3548 |
| 0.3938 | 0.63 | 400 | 0.2334 |
| 0.2852 | 0.95 | 600 | 0.1962 |
| 0.2251 | 1.26 | 800 | 0.1686 |
| 0.2024 | 1.58 | 1000 | 0.1585 |
| 0.1904 | 1.9 | 1200 | 0.1509 |
| 0.1416 | 2.21 | 1400 | 0.1457 |
| 0.1355 | 2.53 | 1600 | 0.1357 |
| 0.148 | 2.84 | 1800 | 0.1305 |
| 0.1447 | 3.16 | 2000 | 0.1317 |
| 0.112 | 3.48 | 2200 | 0.1273 |
| 0.1184 | 3.79 | 2400 | 0.1244 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2