metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: denoice-finetuned-xsum
results: []
denoice-finetuned-xsum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7794
- Rouge1: 71.0141
- Rouge2: 53.0457
- Rougel: 71.0918
- Rougelsum: 71.0572
- Gen Len: 16.5681
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 76 | 0.8037 | 70.2689 | 52.2689 | 70.2756 | 70.2269 | 16.5707 |
| No log | 2.0 | 152 | 0.7922 | 70.7975 | 52.7278 | 70.8142 | 70.8439 | 16.5576 |
| No log | 3.0 | 228 | 0.7846 | 70.8221 | 52.6361 | 70.9459 | 70.8784 | 16.5314 |
| No log | 4.0 | 304 | 0.7805 | 71.0252 | 53.0551 | 71.0992 | 71.0725 | 16.5576 |
| No log | 5.0 | 380 | 0.7794 | 71.0141 | 53.0457 | 71.0918 | 71.0572 | 16.5681 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.13.1
- Datasets 2.16.1
- Tokenizers 0.15.0