transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Synopsis_summarization_t5
  results: []
---

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# Synopsis_summarization_t5

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an Indonesia Novel dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5656
- Rouge1: 0.131
- Rouge2: 0.0393
- Rougel: 0.1193
- Rougelsum: 0.12
- 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 10   | 2.9436          | 0.0943 | 0.0169 | 0.0838 | 0.0838    | 19.0    |
| 2.9817        | 2.0   | 20   | 2.8118          | 0.1009 | 0.0192 | 0.0894 | 0.0897    | 19.0    |
| 2.9817        | 3.0   | 30   | 2.7272          | 0.1062 | 0.0214 | 0.0934 | 0.0938    | 19.0    |
| 2.8136        | 4.0   | 40   | 2.6788          | 0.1086 | 0.0216 | 0.0962 | 0.0967    | 19.0    |
| 2.8136        | 5.0   | 50   | 2.6475          | 0.1107 | 0.0243 | 0.0961 | 0.0971    | 19.0    |
| 2.697         | 6.0   | 60   | 2.6258          | 0.1258 | 0.0312 | 0.1123 | 0.1132    | 19.0    |
| 2.697         | 7.0   | 70   | 2.6174          | 0.1245 | 0.0325 | 0.1108 | 0.1114    | 19.0    |
| 2.6577        | 8.0   | 80   | 2.6132          | 0.1314 | 0.037  | 0.1193 | 0.1198    | 19.0    |
| 2.6577        | 9.0   | 90   | 2.6049          | 0.128  | 0.0371 | 0.1173 | 0.1185    | 19.0    |
| 2.6347        | 10.0  | 100  | 2.5951          | 0.1294 | 0.0383 | 0.1195 | 0.1205    | 19.0    |
| 2.6347        | 11.0  | 110  | 2.5872          | 0.1294 | 0.0383 | 0.1195 | 0.1205    | 19.0    |
| 2.6063        | 12.0  | 120  | 2.5808          | 0.1296 | 0.0383 | 0.1195 | 0.1204    | 19.0    |
| 2.6063        | 13.0  | 130  | 2.5776          | 0.1296 | 0.0383 | 0.1195 | 0.1204    | 19.0    |
| 2.5979        | 14.0  | 140  | 2.5755          | 0.1302 | 0.0371 | 0.1186 | 0.1195    | 19.0    |
| 2.5979        | 15.0  | 150  | 2.5733          | 0.1302 | 0.0371 | 0.1186 | 0.1195    | 19.0    |
| 2.5841        | 16.0  | 160  | 2.5703          | 0.131  | 0.0393 | 0.1193 | 0.12      | 19.0    |
| 2.5841        | 17.0  | 170  | 2.5680          | 0.131  | 0.0393 | 0.1193 | 0.12      | 19.0    |
| 2.5672        | 18.0  | 180  | 2.5669          | 0.131  | 0.0393 | 0.1193 | 0.12      | 19.0    |
| 2.5672        | 19.0  | 190  | 2.5658          | 0.131  | 0.0393 | 0.1193 | 0.12      | 19.0    |
| 2.5716        | 20.0  | 200  | 2.5656          | 0.131  | 0.0393 | 0.1193 | 0.12      | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
