|
--- |
|
base_model: ybelkada/flan-t5-xl-sharded-bf16 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: flan-t5-xl-absa-rest |
|
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. --> |
|
|
|
# flan-t5-xl-absa-rest |
|
|
|
This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1480 |
|
|
|
## 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: 12 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.6478 | 0.9 | 200 | 0.9703 | |
|
| 0.5623 | 1.8 | 400 | 0.2571 | |
|
| 0.3339 | 2.7 | 600 | 0.2022 | |
|
| 0.2858 | 3.6 | 800 | 0.1855 | |
|
| 0.2566 | 4.5 | 1000 | 0.1839 | |
|
| 0.2327 | 5.41 | 1200 | 0.1727 | |
|
| 0.2158 | 6.31 | 1400 | 0.1580 | |
|
| 0.2133 | 7.21 | 1600 | 0.1506 | |
|
| 0.194 | 8.11 | 1800 | 0.1547 | |
|
| 0.1933 | 9.01 | 2000 | 0.1496 | |
|
| 0.1898 | 9.91 | 2200 | 0.1491 | |
|
| 0.1823 | 10.81 | 2400 | 0.1499 | |
|
| 0.1725 | 11.71 | 2600 | 0.1480 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
