metadata
license: apache-2.0
base_model: t5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-destination-inference
results: []
t5-base-destination-inference
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1325
- Rouge1: 21.8
- Rouge2: 0.0
- Rougel: 21.8
- Rougelsum: 21.8
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 |
|---|---|---|---|---|---|---|---|
| 3.4532 | 1.0 | 250 | 1.8246 | 1.4 | 0.0 | 1.4 | 1.4 |
| 2.2781 | 2.0 | 500 | 1.5979 | 4.2 | 0.0 | 4.2 | 4.2 |
| 2.0678 | 3.0 | 750 | 1.4511 | 11.6 | 0.0 | 11.5 | 11.6 |
| 1.9165 | 4.0 | 1000 | 1.3417 | 14.8 | 0.0 | 14.8 | 14.8 |
| 1.7977 | 5.0 | 1250 | 1.2545 | 16.4 | 0.0 | 16.4 | 16.4 |
| 1.7429 | 6.0 | 1500 | 1.1880 | 20.8 | 0.0 | 20.8 | 20.8 |
| 1.6793 | 7.0 | 1750 | 1.1493 | 21.8 | 0.0 | 21.8 | 21.8 |
| 1.624 | 8.0 | 2000 | 1.1325 | 21.8 | 0.0 | 21.8 | 21.8 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3