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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- indosum
metrics:
- rouge
model-index:
- name: my_awesome_indosum_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: indosum
type: indosum
config: indosum_fold0_source
split: test
args: indosum_fold0_source
metrics:
- name: Rouge1
type: rouge
value: 0.1739
---
<!-- 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. -->
# my_awesome_indosum_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the indosum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9401
- Rouge1: 0.1739
- Rouge2: 0.1376
- Rougel: 0.1741
- Rougelsum: 0.1737
- Gen Len: 19.0
## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 19 | 1.3632 | 0.1491 | 0.1079 | 0.1489 | 0.1485 | 19.0 |
| No log | 2.0 | 38 | 1.0416 | 0.1676 | 0.1255 | 0.1674 | 0.1661 | 19.0 |
| No log | 3.0 | 57 | 0.9622 | 0.1735 | 0.1357 | 0.1733 | 0.1727 | 19.0 |
| No log | 4.0 | 76 | 0.9401 | 0.1739 | 0.1376 | 0.1741 | 0.1737 | 19.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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