metadata
language:
- id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-base-0
results: []
summarization-base-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: 0.9113
- Rouge1: 0.4336
- Rouge2: 0.0
- Rougel: 0.4366
- Rougelsum: 0.4379
- Gen Len: 1.0
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: 4
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.5349 | 1.0 | 3566 | 0.9113 | 0.4457 | 0.0 | 0.4447 | 0.4422 | 1.0 |
| 0.8222 | 2.0 | 7132 | 0.7658 | 0.4293 | 0.0 | 0.4263 | 0.4253 | 1.0 |
| 0.6231 | 3.0 | 10698 | 0.6906 | 0.4208 | 0.0 | 0.417 | 0.415 | 1.0 |
| 0.4701 | 4.0 | 14264 | 0.6816 | 0.4158 | 0.0 | 0.4113 | 0.41 | 1.0 |
| 0.3217 | 5.0 | 17830 | 0.7147 | 0.4109 | 0.0 | 0.4081 | 0.4066 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1