metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-lora-3
results: []
indosum-lora-3
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: 0.5442
- Rouge1: 72.6224
- Rouge2: 65.7072
- Rougel: 69.4293
- Rougelsum: 71.6325
- Gen Len: 101.7893
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 |
|---|---|---|---|---|---|---|---|---|
| 0.8274 | 1.0 | 892 | 0.5684 | 69.5991 | 62.0811 | 66.2103 | 68.5179 | 100.152 |
| 0.6237 | 2.0 | 1784 | 0.5487 | 71.3379 | 64.0461 | 68.1399 | 70.3424 | 104.7813 |
| 0.5824 | 3.0 | 2676 | 0.5442 | 72.3075 | 65.3703 | 69.1638 | 71.3776 | 101.356 |
| 0.555 | 4.0 | 3568 | 0.5253 | 72.2139 | 65.2916 | 69.2278 | 71.2919 | 103.6467 |
| 0.5391 | 5.0 | 4460 | 0.5204 | 72.0194 | 64.9755 | 68.9244 | 71.0549 | 102.1173 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1