metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Summary
results: []
Summary
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7430
- Rouge1: 0.2448
- Rouge2: 0.1173
- Rougel: 0.2028
- Rougelsum: 0.2029
- 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: 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 282 | 1.7743 | 0.2429 | 0.1151 | 0.2007 | 0.2008 | 18.9976 |
| 2.0101 | 2.0 | 564 | 1.7550 | 0.2448 | 0.1169 | 0.203 | 0.2032 | 18.9976 |
| 2.0101 | 3.0 | 846 | 1.7477 | 0.2451 | 0.1178 | 0.2034 | 0.2036 | 18.9976 |
| 1.9145 | 4.0 | 1128 | 1.7441 | 0.2449 | 0.1173 | 0.2028 | 0.203 | 18.9976 |
| 1.9145 | 5.0 | 1410 | 1.7430 | 0.2448 | 0.1173 | 0.2028 | 0.2029 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0