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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- id_liputan6 |
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model-index: |
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- name: bert2bert-extremecleandata-lr-5e-05-batchsize-2-encmaxlen-2048-decmaxlen-512-abs |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert2bert-extremecleandata-lr-5e-05-batchsize-2-encmaxlen-2048-decmaxlen-512-abs |
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- Dev set: Extreme clean data |
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- Encoder max length (input): 2048 |
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- Decoder max length (output): 512 |
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This model was trained from scratch on the id_liputan6 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 9.4148 |
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- R1 Precision: 0.0188 |
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- R1 Recall: 0.0105 |
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- R1 Fmeasure: 0.0133 |
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- R2 Precision: 0.0 |
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- R2 Recall: 0.0 |
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- R2 Fmeasure: 0.0 |
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- Rl Precision: 0.0188 |
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- Rl Recall: 0.0106 |
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- Rl Fmeasure: 0.0133 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | R1 Precision | R1 Recall | R1 Fmeasure | R2 Precision | R2 Recall | R2 Fmeasure | Rl Precision | Rl Recall | Rl Fmeasure | |
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|:-------------:|:-----:|:------:|:---------------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:| |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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### Framework versions |
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- Transformers 4.39.0 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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