metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: denoice-finetuned-xsum
results: []
denoice-finetuned-xsum
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6757
- Rouge1: 73.1568
- Rouge2: 56.3431
- Rougel: 73.2739
- Rougelsum: 73.2387
- Gen Len: 16.5471
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: 500
- eval_batch_size: 500
- seed: 42
- 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 | 76 | 0.7087 | 72.4084 | 55.2193 | 72.4899 | 72.4272 | 16.5916 |
| No log | 2.0 | 152 | 0.6998 | 72.7389 | 55.4449 | 72.7601 | 72.7258 | 16.5497 |
| No log | 3.0 | 228 | 0.6946 | 72.674 | 55.5275 | 72.7467 | 72.712 | 16.5288 |
| No log | 4.0 | 304 | 0.6888 | 72.7071 | 55.7658 | 72.7673 | 72.7402 | 16.5524 |
| No log | 5.0 | 380 | 0.6829 | 72.8829 | 55.8072 | 72.9415 | 72.9187 | 16.5602 |
| No log | 6.0 | 456 | 0.6801 | 73.067 | 55.9923 | 73.137 | 73.1117 | 16.5681 |
| 0.8082 | 7.0 | 532 | 0.6791 | 73.1192 | 56.0297 | 73.2107 | 73.1619 | 16.5707 |
| 0.8082 | 8.0 | 608 | 0.6768 | 73.0697 | 56.0297 | 73.1433 | 73.1279 | 16.5785 |
| 0.8082 | 9.0 | 684 | 0.6763 | 72.9717 | 55.9654 | 73.0873 | 73.0365 | 16.5576 |
| 0.8082 | 10.0 | 760 | 0.6757 | 73.1568 | 56.3431 | 73.2739 | 73.2387 | 16.5471 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.13.1
- Datasets 2.16.1
- Tokenizers 0.15.0