metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-seq_bn-rf64-0
results: []
indosum-seq_bn-rf64-0
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: 0.5046
- Rouge1: 72.7451
- Rouge2: 65.6426
- Rougel: 69.7965
- Rougelsum: 71.8443
- Gen Len: 103.1187
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 |
|---|---|---|---|---|---|---|---|---|
| 0.8386 | 1.0 | 892 | 0.5658 | 68.0586 | 60.6185 | 65.0879 | 67.0846 | 102.556 |
| 0.646 | 2.0 | 1784 | 0.5346 | 69.6096 | 62.3885 | 66.6327 | 68.7343 | 107.088 |
| 0.6031 | 3.0 | 2676 | 0.5019 | 70.498 | 63.0668 | 67.3204 | 69.5075 | 101.6693 |
| 0.5753 | 4.0 | 3568 | 0.5093 | 71.6759 | 64.4776 | 68.7095 | 70.7692 | 104.52 |
| 0.5551 | 5.0 | 4460 | 0.5046 | 72.0617 | 64.9137 | 69.0991 | 71.1205 | 102.5733 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1