transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:Falconsai/text_summarization base_model:finetune:Falconsai/text_summarization license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: Falconsai/text_summarization
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: vietnamese_t5_summary_model_falcon
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vietnamese_t5_summary_model_falcon

This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9637
- Rouge1: 5.3259
- Rouge2: 1.0432
- Rougel: 4.3589
- Rougelsum: 4.4312

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 3000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 5.5256        | 1.0   | 13   | 5.0138          | 5.1301 | 1.1104 | 4.3454 | 4.4618    |
| 5.3866        | 2.0   | 26   | 5.0124          | 5.2801 | 1.1592 | 4.4856 | 4.6096    |
| 5.5331        | 3.0   | 39   | 5.0101          | 5.2801 | 1.1592 | 4.4856 | 4.6096    |
| 5.3745        | 4.0   | 52   | 5.0061          | 5.2233 | 1.1592 | 4.4309 | 4.5483    |
| 5.5461        | 5.0   | 65   | 5.0023          | 4.9462 | 1.0051 | 4.1778 | 4.3127    |
| 5.326         | 6.0   | 78   | 4.9966          | 4.9914 | 1.0075 | 4.1731 | 4.309     |
| 5.5432        | 7.0   | 91   | 4.9909          | 5.1529 | 1.1614 | 4.2869 | 4.3977    |
| 5.4482        | 8.0   | 104  | 4.9828          | 5.0223 | 0.9709 | 4.1513 | 4.2346    |
| 5.4006        | 9.0   | 117  | 4.9732          | 5.2199 | 1.0146 | 4.291  | 4.3823    |
| 5.4558        | 10.0  | 130  | 4.9637          | 5.3259 | 1.0432 | 4.3589 | 4.4312    |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
