|
--- |
|
license: apache-2.0 |
|
base_model: bert-base-uncased |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: KUCI_Bert_Base_Finetuned |
|
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. --> |
|
|
|
# KUCI_Bert_Base_Finetuned |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2038 |
|
- F1: 0.5172 |
|
|
|
## 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: 9 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 1.1987 | 1.0 | 5196 | 1.1956 | 0.4711 | |
|
| 1.1506 | 2.0 | 10392 | 1.1539 | 0.4989 | |
|
| 1.0993 | 3.0 | 15588 | 1.1260 | 0.5131 | |
|
| 1.0511 | 4.0 | 20784 | 1.1206 | 0.5172 | |
|
| 1.0058 | 5.0 | 25980 | 1.1180 | 0.5269 | |
|
| 0.9605 | 6.0 | 31176 | 1.1835 | 0.5264 | |
|
| 0.9067 | 7.0 | 36372 | 1.1929 | 0.5235 | |
|
| 0.8862 | 8.0 | 41568 | 1.2050 | 0.5198 | |
|
| 0.8667 | 9.0 | 46764 | 1.2038 | 0.5172 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.0 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
