metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization
results: []
summarization
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5596
- Rouge1: 0.2002
- Rouge2: 0.0988
- Rougel: 0.1673
- Rougelsum: 0.1672
- 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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 124 | 2.6496 | 0.1597 | 0.0618 | 0.1338 | 0.1337 | 19.0 |
| No log | 2.0 | 248 | 2.5953 | 0.1968 | 0.0946 | 0.1651 | 0.1653 | 19.0 |
| No log | 3.0 | 372 | 2.5667 | 0.2006 | 0.0989 | 0.1678 | 0.1677 | 19.0 |
| No log | 4.0 | 496 | 2.5596 | 0.2002 | 0.0988 | 0.1673 | 0.1672 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0