metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: TextSummarizerAI_Basic_v1
results: []
TextSummarizerAI_Basic_v1
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3319
- Rouge1: 0.1985
- Rouge2: 0.1019
- Rougel: 0.1702
- Rougelsum: 0.17
- Gen Len: 19.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.7851 | 0.1315 | 0.0434 | 0.1122 | 0.1124 | 19.0 |
| No log | 2.0 | 124 | 2.5568 | 0.1442 | 0.0559 | 0.1197 | 0.1193 | 19.0 |
| No log | 3.0 | 186 | 2.4669 | 0.1536 | 0.062 | 0.127 | 0.1268 | 19.0 |
| No log | 4.0 | 248 | 2.4149 | 0.1768 | 0.0786 | 0.1472 | 0.1472 | 19.0 |
| No log | 5.0 | 310 | 2.3847 | 0.1947 | 0.0959 | 0.1653 | 0.1651 | 19.0 |
| No log | 6.0 | 372 | 2.3634 | 0.1973 | 0.0999 | 0.1691 | 0.1688 | 19.0 |
| No log | 7.0 | 434 | 2.3487 | 0.1981 | 0.1017 | 0.1704 | 0.1703 | 19.0 |
| No log | 8.0 | 496 | 2.3404 | 0.1982 | 0.102 | 0.1706 | 0.1703 | 19.0 |
| 2.7541 | 9.0 | 558 | 2.3333 | 0.199 | 0.1024 | 0.1711 | 0.1709 | 19.0 |
| 2.7541 | 10.0 | 620 | 2.3319 | 0.1985 | 0.1019 | 0.1702 | 0.17 | 19.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2