metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart_cust_summarizer
results: []
bart_cust_summarizer
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8540
- Rouge1: 0.208
- Rouge2: 0.0971
- Rougel: 0.1781
- Rougelsum: 0.1778
- Gen Len: 18.9841
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.2101 | 1.0 | 1887 | 1.9077 | 0.2068 | 0.0945 | 0.1765 | 0.1764 | 18.9873 |
| 2.0495 | 2.0 | 3774 | 1.8540 | 0.208 | 0.0971 | 0.1781 | 0.1778 | 18.9841 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1