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---
license: cc-by-sa-4.0
base_model: p1atdev/t5-base-xlsum-ja
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Megagon_step3_p1atdev
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. -->
# Megagon_step3_p1atdev
This model is a fine-tuned version of [p1atdev/t5-base-xlsum-ja](https://huggingface.co/p1atdev/t5-base-xlsum-ja) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2045
- Rouge1: 0.2598
- Rouge2: 0.1099
- Rougel: 0.2579
- Rougelsum: 0.2576
- Gen Len: 10.5676
## 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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 79 | 2.2677 | 0.3223 | 0.1811 | 0.3225 | 0.3203 | 11.4505 |
| No log | 2.0 | 158 | 1.4330 | 0.3084 | 0.1628 | 0.3087 | 0.3067 | 11.1802 |
| No log | 3.0 | 237 | 1.2345 | 0.2672 | 0.1156 | 0.2652 | 0.2644 | 10.6081 |
| No log | 4.0 | 316 | 1.2045 | 0.2598 | 0.1099 | 0.2579 | 0.2576 | 10.5676 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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