metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test-dialogue-summarization
results: []
test-dialogue-summarization
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9653
- Rouge1: 61.2091
- Rouge2: 36.8979
- Rougel: 46.3962
- Rougelsum: 58.3082
- Gen Len: 135.6733
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 94 | 1.3755 | 53.9112 | 25.5975 | 36.8507 | 50.0306 | 132.7733 |
| No log | 2.0 | 188 | 1.2081 | 55.5956 | 27.4849 | 37.7785 | 51.7906 | 137.1267 |
| No log | 3.0 | 282 | 1.1149 | 55.714 | 28.3629 | 39.0763 | 52.439 | 137.62 |
| No log | 4.0 | 376 | 1.0564 | 56.6202 | 29.789 | 39.9223 | 53.3054 | 135.1733 |
| No log | 5.0 | 470 | 1.0107 | 57.8272 | 31.5716 | 41.9775 | 54.5114 | 135.1733 |
| 1.1609 | 6.0 | 564 | 0.9775 | 58.561 | 32.5462 | 42.9577 | 55.1653 | 133.5533 |
| 1.1609 | 7.0 | 658 | 0.9683 | 59.0592 | 33.8153 | 43.918 | 56.0493 | 135.3267 |
| 1.1609 | 8.0 | 752 | 0.9626 | 60.4587 | 35.8511 | 45.9511 | 57.3658 | 134.38 |
| 1.1609 | 9.0 | 846 | 0.9623 | 60.3938 | 35.8996 | 45.7161 | 57.2104 | 135.2333 |
| 1.1609 | 10.0 | 940 | 0.9653 | 61.2091 | 36.8979 | 46.3962 | 58.3082 | 135.6733 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3