metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: indosum-lora-0
results: []
indosum-lora-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: 0.4876
- Rouge1: 73.5772
- Rouge2: 66.7059
- Rougel: 70.6615
- Rougelsum: 72.7397
- Gen Len: 102.9213
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 |
|---|---|---|---|---|---|---|---|---|
| 0.7749 | 1.0 | 892 | 0.5290 | 71.3679 | 64.0441 | 68.2584 | 70.462 | 103.084 |
| 0.5963 | 2.0 | 1784 | 0.5043 | 71.9204 | 64.8766 | 68.9265 | 71.053 | 105.9827 |
| 0.5524 | 3.0 | 2676 | 0.4928 | 72.0196 | 65.0022 | 69.1173 | 71.1808 | 103.2227 |
| 0.5236 | 4.0 | 3568 | 0.4948 | 72.454 | 65.5465 | 69.6508 | 71.6454 | 105.364 |
| 0.5017 | 5.0 | 4460 | 0.4876 | 73.194 | 66.308 | 70.335 | 72.3629 | 102.86 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1