|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
- sibyl |
|
datasets: |
|
- dbpedia_14 |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bert-base-uncased-dbpedia_14 |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: dbpedia_14 |
|
type: dbpedia_14 |
|
args: dbpedia_14 |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9902857142857143 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# bert-base-uncased-dbpedia_14 |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the dbpedia_14 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0547 |
|
- Accuracy: 0.9903 |
|
|
|
## 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: 8 |
|
- 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_steps: 34650 |
|
- training_steps: 346500 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 1.7757 | 0.03 | 2000 | 0.2732 | 0.9880 | |
|
| 0.1002 | 0.06 | 4000 | 0.0620 | 0.9891 | |
|
| 0.0547 | 0.09 | 6000 | 0.0723 | 0.9879 | |
|
| 0.0558 | 0.12 | 8000 | 0.0678 | 0.9875 | |
|
| 0.0534 | 0.14 | 10000 | 0.0554 | 0.9896 | |
|
| 0.0632 | 0.17 | 12000 | 0.0670 | 0.9888 | |
|
| 0.0612 | 0.2 | 14000 | 0.0733 | 0.9873 | |
|
| 0.0667 | 0.23 | 16000 | 0.0623 | 0.9896 | |
|
| 0.0636 | 0.26 | 18000 | 0.0836 | 0.9868 | |
|
| 0.0705 | 0.29 | 20000 | 0.0776 | 0.9855 | |
|
| 0.0726 | 0.32 | 22000 | 0.0805 | 0.9861 | |
|
| 0.0778 | 0.35 | 24000 | 0.0713 | 0.9870 | |
|
| 0.0713 | 0.38 | 26000 | 0.1277 | 0.9805 | |
|
| 0.0965 | 0.4 | 28000 | 0.0810 | 0.9855 | |
|
| 0.0881 | 0.43 | 30000 | 0.0910 | 0.985 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.10.2 |
|
- Pytorch 1.7.1 |
|
- Datasets 1.6.1 |
|
- Tokenizers 0.10.3 |
|
|