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IndoT5-base-amr-to-text-linearized-penman-ilmy-epochs-10
This model is a fine-tuned version of Wikidepia/IndoT5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1789
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: 0.0001
- 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
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 331 | 0.6415 |
0.4503 | 2.0 | 662 | 0.8102 |
0.4503 | 3.0 | 993 | 0.8944 |
0.0619 | 4.0 | 1324 | 0.9228 |
0.0262 | 5.0 | 1655 | 1.0949 |
0.0262 | 6.0 | 1986 | 1.1223 |
0.0158 | 7.0 | 2317 | 1.1668 |
0.0103 | 8.0 | 2648 | 1.1655 |
0.0103 | 9.0 | 2979 | 1.1861 |
0.008 | 10.0 | 3310 | 1.1789 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3