metadata
license: apache-2.0
base_model: AptaArkana/indonesian-emotion-distilbert-base-cased-finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: DistilBERT-Rating-Prediction
results: []
DistilBERT-Rating-Prediction
This model is a fine-tuned version of AptaArkana/indonesian-emotion-distilbert-base-cased-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9357
- F1: 0.3927
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.15
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5927 | 1.0 | 91 | 0.8094 | 0.3878 |
| 0.4851 | 2.0 | 182 | 0.8268 | 0.3846 |
| 0.2956 | 3.0 | 273 | 0.8444 | 0.3809 |
| 0.1669 | 4.0 | 364 | 0.8558 | 0.3738 |
| 0.2344 | 5.0 | 455 | 0.8772 | 0.3688 |
| 0.0776 | 6.0 | 546 | 0.8992 | 0.3746 |
| 0.2512 | 7.0 | 637 | 0.9313 | 0.3781 |
| 0.1181 | 8.0 | 728 | 0.9292 | 0.3796 |
| 0.2482 | 9.0 | 819 | 0.9284 | 0.3889 |
| 0.6544 | 10.0 | 910 | 0.9357 | 0.3927 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2