metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: five_epoch
results: []
five_epoch
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7970
- Rouge1: 0.2098
- Rouge2: 0.0823
- Rougel: 0.1904
- Rougelsum: 0.1905
- Gen Len: 17.47
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 107 | 3.2569 | 0.1107 | 0.018 | 0.0981 | 0.0978 | 18.5 |
| No log | 2.0 | 214 | 2.9546 | 0.1386 | 0.0334 | 0.1187 | 0.1186 | 18.09 |
| No log | 3.0 | 321 | 2.8548 | 0.1721 | 0.0587 | 0.1544 | 0.1544 | 17.76 |
| No log | 4.0 | 428 | 2.8110 | 0.204 | 0.0774 | 0.1862 | 0.1871 | 17.64 |
| 3.1308 | 5.0 | 535 | 2.7970 | 0.2098 | 0.0823 | 0.1904 | 0.1905 | 17.47 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0