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_2data
results: []
Question_model_2data
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: 2.5658
- Rouge1: 0.0429
- Rouge2: 0.0057
- Rougel: 0.0429
- Rougelsum: 0.0429
- Gen Len: 15.1213
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 |
|---|---|---|---|---|---|---|---|---|
| 3.3575 | 1.0 | 5704 | 2.6953 | 0.0388 | 0.0054 | 0.0387 | 0.0386 | 14.791 |
| 3.2388 | 2.0 | 11408 | 2.6126 | 0.0404 | 0.0052 | 0.0403 | 0.0403 | 14.9236 |
| 3.1827 | 3.0 | 17112 | 2.5780 | 0.0425 | 0.0055 | 0.0424 | 0.0424 | 14.9523 |
| 3.1688 | 4.0 | 22816 | 2.5658 | 0.0429 | 0.0057 | 0.0429 | 0.0429 | 15.1213 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1