File size: 1,920 Bytes
17e92f4 5df036d 17e92f4 5df036d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
license: mit
base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: output
results: []
pipeline_tag: text-classification
---
<!-- 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. -->
# output
This model is a fine-tuned version of [ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7283
- Accuracy: 0.6978
- F1 Score: 0.6979
## 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: 2e-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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.4822 | 1.0 | 1952 | 0.7514 | 0.6989 | 0.7001 |
| 0.6036 | 2.0 | 3904 | 0.7232 | 0.7020 | 0.7030 |
| 0.6004 | 3.0 | 5856 | 0.7226 | 0.7020 | 0.7027 |
| 0.5904 | 4.0 | 7808 | 0.7260 | 0.7037 | 0.7046 |
| 0.5919 | 5.0 | 9760 | 0.7250 | 0.7039 | 0.7048 |
| 0.5939 | 6.0 | 11712 | 0.7260 | 0.7053 | 0.7060 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |