indosum-pt-pl5-1
This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7699
- Rouge1: 51.7237
- Rouge2: 30.6472
- Rougel: 45.7369
- Rougelsum: 49.7038
- Gen Len: 97.3498
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: 0.001
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.3389 | 1.0 | 892 | 2.3878 | 41.0873 | 18.0223 | 33.3918 | 38.3574 | 94.4633 |
| 2.9722 | 2.0 | 1784 | 2.1819 | 44.6005 | 22.0442 | 37.6859 | 42.2047 | 101.0441 |
| 2.7885 | 3.0 | 2676 | 1.9841 | 47.1857 | 25.1724 | 40.8527 | 44.8931 | 94.3178 |
| 2.6274 | 4.0 | 3568 | 1.8607 | 49.3734 | 27.6939 | 43.2037 | 47.044 | 91.7116 |
| 2.4853 | 5.0 | 4460 | 1.7699 | 51.7237 | 30.6472 | 45.7369 | 49.7038 | 97.3498 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
Inference Providers
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Model tree for apwic/indosum-pt-pl5-1
Base model
LazarusNLP/IndoNanoT5-base