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---
library_name: transformers
license: cc-by-sa-4.0
base_model: retrieva-jp/t5-base-medium
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Question_model_1
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. -->
# Question_model_1
This model is a fine-tuned version of [retrieva-jp/t5-base-medium](https://huggingface.co/retrieva-jp/t5-base-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2892
- Rouge1: 0.086
- Rouge2: 0.0236
- Rougel: 0.0858
- Rougelsum: 0.0856
- Gen Len: 16.5234
## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.6228 | 1.0 | 7858 | 1.3471 | 0.0811 | 0.0207 | 0.0811 | 0.0811 | 16.6484 |
| 1.5099 | 2.0 | 15716 | 1.2962 | 0.0863 | 0.0231 | 0.0863 | 0.0861 | 16.5369 |
| 1.499 | 3.0 | 23574 | 1.2892 | 0.086 | 0.0236 | 0.0858 | 0.0856 | 16.5234 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
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