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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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