|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: roberta-base-bne-finetuned_personality_multi |
|
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. --> |
|
|
|
# roberta-base-bne-finetuned_personality_multi |
|
|
|
This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.3709 |
|
- Accuracy: 0.5130 |
|
|
|
## 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: 1e-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 |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 2.2576 | 1.0 | 125 | 2.2755 | 0.2340 | |
|
| 2.0409 | 2.0 | 250 | 2.1425 | 0.2974 | |
|
| 1.6358 | 3.0 | 375 | 1.8730 | 0.4403 | |
|
| 1.3553 | 4.0 | 500 | 1.7443 | 0.5032 | |
|
| 0.9201 | 5.0 | 625 | 1.7165 | 0.5055 | |
|
| 0.5199 | 6.0 | 750 | 1.7476 | 0.5107 | |
|
| 0.5588 | 7.0 | 875 | 1.7758 | 0.5153 | |
|
| 0.2079 | 8.0 | 1000 | 1.7964 | 0.5251 | |
|
| 0.2685 | 9.0 | 1125 | 1.8886 | 0.5187 | |
|
| 0.1261 | 10.0 | 1250 | 1.9463 | 0.5199 | |
|
| 0.1105 | 11.0 | 1375 | 2.0337 | 0.5222 | |
|
| 0.1572 | 12.0 | 1500 | 2.1206 | 0.5084 | |
|
| 0.0643 | 13.0 | 1625 | 2.1815 | 0.5182 | |
|
| 0.0174 | 14.0 | 1750 | 2.2412 | 0.5176 | |
|
| 0.0266 | 15.0 | 1875 | 2.2741 | 0.5112 | |
|
| 0.0447 | 16.0 | 2000 | 2.3089 | 0.5159 | |
|
| 0.02 | 17.0 | 2125 | 2.3401 | 0.5135 | |
|
| 0.0414 | 18.0 | 2250 | 2.3504 | 0.5159 | |
|
| 0.0122 | 19.0 | 2375 | 2.3661 | 0.5130 | |
|
| 0.0154 | 20.0 | 2500 | 2.3709 | 0.5130 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.19.3 |
|
- Pytorch 1.11.0+cu113 |
|
- Datasets 2.2.2 |
|
- Tokenizers 0.12.1 |
|
|
