File size: 1,967 Bytes
1a3ca2a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-lora-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# summarization-lora-0
This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5829
- Rouge1: 0.4334
- Rouge2: 0.0
- Rougel: 0.4324
- Rougelsum: 0.4298
- 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: 5e-05
- train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.3917 | 1.0 | 1783 | 0.6615 | 0.5471 | 0.0 | 0.5464 | 0.5441 | 1.0 |
| 0.854 | 2.0 | 3566 | 0.6181 | 0.4511 | 0.0 | 0.4501 | 0.4463 | 1.0 |
| 0.7905 | 3.0 | 5349 | 0.5925 | 0.421 | 0.0 | 0.4197 | 0.4168 | 1.0 |
| 0.7624 | 4.0 | 7132 | 0.5808 | 0.438 | 0.0 | 0.4378 | 0.433 | 1.0 |
| 0.751 | 5.0 | 8915 | 0.5829 | 0.4334 | 0.0 | 0.4324 | 0.4298 | 1.0 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|