---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: summeraiztion_t5base_en_to_kjven
  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. -->

# summeraiztion_t5base_en_to_kjven

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7702
- Bleu: 23.612
- Gen Len: 18.1576

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.0705        | 1.0   | 2860  | 0.9540          | 21.4263 | 18.131  |
| 0.9753        | 2.0   | 5720  | 0.8850          | 22.278  | 18.1371 |
| 0.9191        | 3.0   | 8580  | 0.8482          | 22.6985 | 18.1433 |
| 0.8845        | 4.0   | 11440 | 0.8207          | 23.0513 | 18.146  |
| 0.8654        | 5.0   | 14300 | 0.8015          | 23.2476 | 18.1499 |
| 0.8443        | 6.0   | 17160 | 0.7891          | 23.4193 | 18.1525 |
| 0.8175        | 7.0   | 20020 | 0.7820          | 23.5084 | 18.1548 |
| 0.8192        | 8.0   | 22880 | 0.7741          | 23.538  | 18.1576 |
| 0.8077        | 9.0   | 25740 | 0.7712          | 23.5967 | 18.1572 |
| 0.8096        | 10.0  | 28600 | 0.7702          | 23.612  | 18.1576 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3