metadata
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_notitle
results: []
Question_model_notitle
This model is a fine-tuned version of retrieva-jp/t5-base-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4010
- Rouge1: 0.0884
- Rouge2: 0.024
- Rougel: 0.0883
- Rougelsum: 0.0887
- Gen Len: 16.0081
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 |
|---|---|---|---|---|---|---|---|---|
| 1.7738 | 1.0 | 7858 | 1.4773 | 0.0796 | 0.0215 | 0.0794 | 0.0799 | 16.2695 |
| 1.6313 | 2.0 | 15716 | 1.4103 | 0.0832 | 0.024 | 0.0828 | 0.0833 | 16.0633 |
| 1.6204 | 3.0 | 23574 | 1.4010 | 0.0884 | 0.024 | 0.0883 | 0.0887 | 16.0081 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1