metadata
license: mit
base_model: LazarusNLP/NusaBERT-base
tags:
- generated_from_trainer
datasets:
- indonlu
metrics:
- f1
model-index:
- name: NusaBERT-base-EmoT
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: indonlu
type: indonlu
config: emot
split: validation
args: emot
metrics:
- name: F1
type: f1
value: 0.761
NusaBERT-base-EmoT
This model is a fine-tuned version of LazarusNLP/NusaBERT-base on the indonlu dataset. It achieves the following results on the evaluation set:
- Loss: 0.7778
- F1: 0.761
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 111 | 1.2158 | 0.5511 |
| No log | 2.0 | 222 | 0.8299 | 0.6929 |
| No log | 3.0 | 333 | 0.7713 | 0.7324 |
| No log | 4.0 | 444 | 0.7383 | 0.7431 |
| 0.8834 | 5.0 | 555 | 0.7813 | 0.7261 |
| 0.8834 | 6.0 | 666 | 0.7781 | 0.7591 |
| 0.8834 | 7.0 | 777 | 0.8360 | 0.7375 |
| 0.8834 | 8.0 | 888 | 0.8802 | 0.7287 |
| 0.8834 | 9.0 | 999 | 0.9192 | 0.7474 |
| 0.2881 | 10.0 | 1110 | 1.0433 | 0.733 |
| 0.2881 | 11.0 | 1221 | 1.0686 | 0.7277 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.1