metadata
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-japanese-tobyoki-pairwise
results: []
bart-base-japanese-tobyoki-pairwise
This model is a fine-tuned version of ku-nlp/bart-base-japanese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5252
- Rouge1: 11.814
- Rouge2: 1.7965
- Rougel: 8.0177
- Rougelsum: 9.7342
- Gen Len: 50.4446
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2994 | 1.0 | 4332 | 2.7883 | 11.1611 | 1.7768 | 7.5158 | 9.6222 | 55.0633 |
| 0.1513 | 2.0 | 8664 | 3.1286 | 13.7182 | 2.311 | 9.1726 | 11.5058 | 57.3528 |
| 0.0778 | 3.0 | 12996 | 3.3238 | 12.1173 | 1.88 | 8.1156 | 10.1187 | 48.7089 |
| 0.056 | 4.0 | 17328 | 3.4032 | 11.9555 | 2.0536 | 8.2185 | 10.0656 | 50.7373 |
| 0.0364 | 5.0 | 21660 | 3.5252 | 11.814 | 1.7965 | 8.0177 | 9.7342 | 50.4446 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3