metadata
tags:
- generated_from_trainer
datasets:
- id_liputan6
model-index:
- name: >-
bert2bert-extremecleandata-lr-5e-05-batchsize-2-encmaxlen-2048-decmaxlen-512-abs
results: []
bert2bert-extremecleandata-lr-5e-05-batchsize-2-encmaxlen-2048-decmaxlen-512-abs
- Dev set: Extreme clean data
- Encoder max length (input): 2048
- Decoder max length (output): 512
This model was trained from scratch on the id_liputan6 dataset. It achieves the following results on the evaluation set:
- Loss: 9.4148
- R1 Precision: 0.0188
- R1 Recall: 0.0105
- R1 Fmeasure: 0.0133
- R2 Precision: 0.0
- R2 Recall: 0.0
- R2 Fmeasure: 0.0
- Rl Precision: 0.0188
- Rl Recall: 0.0106
- Rl Fmeasure: 0.0133
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | R1 Precision | R1 Recall | R1 Fmeasure | R2 Precision | R2 Recall | R2 Fmeasure | Rl Precision | Rl Recall | Rl Fmeasure |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7.0391 | 1.0 | 96942 | 8.9423 | 0.0188 | 0.0105 | 0.0133 | 0.0 | 0.0 | 0.0 | 0.0188 | 0.0106 | 0.0133 |
| 7.0611 | 2.0 | 193884 | 8.9023 | 0.0188 | 0.0105 | 0.0133 | 0.0 | 0.0 | 0.0 | 0.0188 | 0.0106 | 0.0133 |
| 7.0266 | 3.0 | 290826 | 9.4047 | 0.0188 | 0.0105 | 0.0133 | 0.0 | 0.0 | 0.0 | 0.0188 | 0.0106 | 0.0133 |
| 7.0237 | 4.0 | 387768 | 9.2888 | 0.0188 | 0.0105 | 0.0133 | 0.0 | 0.0 | 0.0 | 0.0188 | 0.0106 | 0.0133 |
| 6.9911 | 5.0 | 484710 | 9.4148 | 0.0188 | 0.0105 | 0.0133 | 0.0 | 0.0 | 0.0 | 0.0188 | 0.0106 | 0.0133 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2