metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_fantastic_patent_model
results: []
my_fantastic_patent_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0021
- Rouge1: 0.2236
- Rouge2: 0.1231
- Rougel: 0.1932
- Rougelsum: 0.1933
- Gen Len: 18.9373
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4015 | 1.0 | 625 | 2.0728 | 0.2182 | 0.116 | 0.1868 | 0.1868 | 18.9365 |
| 2.194 | 2.0 | 1250 | 2.0275 | 0.2215 | 0.1203 | 0.1911 | 0.1912 | 18.9371 |
| 2.1739 | 3.0 | 1875 | 2.0078 | 0.2235 | 0.1228 | 0.1931 | 0.1932 | 18.9371 |
| 2.1381 | 4.0 | 2500 | 2.0021 | 0.2236 | 0.1231 | 0.1932 | 0.1933 | 18.9373 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3