---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: kobart_32_4e-5_datav2_min30_lp5.0_temperature1.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# kobart_32_4e-5_datav2_min30_lp5.0_temperature1.0

This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6131
- Rouge1: 35.7499
- Rouge2: 13.0188
- Rougel: 23.5089
- Bleu1: 29.9409
- Bleu2: 17.5869
- Bleu3: 10.4195
- Bleu4: 6.1345
- Gen Len: 50.5967

## 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: 4e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Bleu1   | Bleu2   | Bleu3   | Bleu4  | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:------:|:-------:|
| 1.7368        | 3.78  | 5000 | 2.6131          | 35.7499 | 13.0188 | 23.5089 | 29.9409 | 17.5869 | 10.4195 | 6.1345 | 50.5967 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2