metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: text_simpl
results: []
text_simpl
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1585
- Rouge1: 0.6973
- Rouge2: 0.582
- Rougel: 0.6706
- Rougelsum: 0.6705
- Gen Len: 18.4735
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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1824 | 1.0 | 625 | 1.1530 | 0.697 | 0.5821 | 0.6703 | 0.6703 | 18.4645 |
| 1.0757 | 2.0 | 1250 | 1.1585 | 0.6973 | 0.582 | 0.6706 | 0.6705 | 18.4735 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.1.1+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0