metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_law_model
results: []
my_awesome_law_model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2170
- Rouge1: 0.1575
- Rouge2: 0.0733
- Rougel: 0.135
- Rougelsum: 0.135
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 389 | 2.2997 | 0.1558 | 0.0713 | 0.1334 | 0.1333 | 19.0 |
| 2.6025 | 2.0 | 778 | 2.2468 | 0.1571 | 0.0729 | 0.1344 | 0.1343 | 19.0 |
| 2.3823 | 3.0 | 1167 | 2.2222 | 0.157 | 0.0731 | 0.1346 | 0.1345 | 19.0 |
| 2.3471 | 4.0 | 1556 | 2.2170 | 0.1575 | 0.0733 | 0.135 | 0.135 | 19.0 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1