metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-tag-generation-recipes
results: []
t5-base-tag-generation-recipes
This model is a fine-tuned version of fabiochiu/t5-base-tag-generation on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6106
- Rouge1: 76.7317
- Rouge2: 59.2273
- Rougel: 74.3318
- Rougelsum: 74.2181
- Gen Len: 15.93
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.2596 | 1.0 | 950 | 0.7129 | 75.4613 | 57.2255 | 70.7783 | 70.8028 | 15.56 |
| 0.7531 | 2.0 | 1900 | 0.6407 | 75.7627 | 58.0085 | 72.5222 | 72.4208 | 15.71 |
| 0.673 | 3.0 | 2850 | 0.6158 | 76.7922 | 59.4197 | 73.5378 | 73.4624 | 15.71 |
| 0.6064 | 4.0 | 3800 | 0.6106 | 76.7317 | 59.2273 | 74.3318 | 74.2181 | 15.93 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2