metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-final_combined_dataset
results: []
t5-small-final_combined_dataset
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1478
- Rouge1: 21.6168
- Rouge2: 19.898
- Rougel: 21.5524
- Rougelsum: 21.5762
- 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: 2
- eval_batch_size: 2
- 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 | 24 | 0.9771 | 22.1616 | 19.8054 | 20.8289 | 21.8465 | 19.0 |
| No log | 2.0 | 48 | 0.5761 | 21.3116 | 18.9119 | 19.847 | 20.8814 | 19.0 |
| No log | 3.0 | 72 | 0.4177 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 |
| No log | 4.0 | 96 | 0.3053 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 |
| No log | 5.0 | 120 | 0.2355 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 |
| No log | 6.0 | 144 | 0.1961 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 |
| No log | 7.0 | 168 | 0.1718 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 |
| No log | 8.0 | 192 | 0.1577 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 |
| No log | 9.0 | 216 | 0.1497 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 |
| No log | 10.0 | 240 | 0.1478 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cpu
- Datasets 2.17.0
- Tokenizers 0.15.2