---
license: apache-2.0
base_model: KETI-AIR/ke-t5-small
tags:
- generated_from_trainer
datasets:
- summary_and_report
metrics:
- rouge
model-index:
- name: ke_t5_small_nikl_summarization
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: summary_and_report
      type: summary_and_report
      config: base
      split: train
      args: base
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.0
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ke_t5_small_nikl_summarization

This model is a fine-tuned version of [KETI-AIR/ke-t5-small](https://huggingface.co/KETI-AIR/ke-t5-small) on the summary_and_report dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 0.0

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 4594  | nan             | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 0.0           | 2.0   | 9188  | nan             | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 0.0           | 3.0   | 13782 | nan             | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3