metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: GSOCt5-small-finetuned-t5_V2
results: []
GSOCt5-small-finetuned-t5_V2
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6585
- Rouge1: 35.6178
- Rouge2: 26.3831
- Rougel: 33.0833
- Rougelsum: 34.2411
- Gen Len: 18.9393
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: 0.0002
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.8214 | 1.0 | 631 | 0.6848 | 35.363 | 26.0631 | 32.7693 | 33.9591 | 18.9571 |
| 0.6835 | 2.0 | 1262 | 0.6585 | 35.6178 | 26.3831 | 33.0833 | 34.2411 | 18.9393 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3