metadata
license: mit
base_model: facebook/mbart-large-50
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mbart-large-50-finetuned-model-hu_1121
results: []
mbart-large-50-finetuned-model-hu_1121
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6534
- Rouge1: 35.6227
- Rouge2: 13.0189
- Rougel: 22.0402
- Rougelsum: 26.9175
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: 5.6e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.9553 | 1.0 | 21353 | 2.5450 | 33.3195 | 12.2415 | 21.2029 | 25.3382 |
| 2.2811 | 2.0 | 42706 | 2.3570 | 33.6149 | 11.975 | 20.9943 | 25.726 |
| 1.9886 | 3.0 | 64059 | 2.3144 | 34.6221 | 12.2867 | 21.7798 | 26.1901 |
| 1.7463 | 4.0 | 85412 | 2.3198 | 35.2114 | 12.9183 | 22.215 | 27.1176 |
| 1.5245 | 5.0 | 106765 | 2.3774 | 35.1147 | 13.1621 | 22.3167 | 26.9264 |
| 1.3222 | 6.0 | 128118 | 2.4642 | 35.5719 | 13.1532 | 22.0023 | 26.8084 |
| 1.1456 | 7.0 | 149471 | 2.5673 | 35.9156 | 13.2115 | 22.2552 | 27.2581 |
| 1.0087 | 8.0 | 170824 | 2.6534 | 35.6227 | 13.0189 | 22.0402 | 26.9175 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1