metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: product_description_generator
results: []
product_description_generator
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0241
- Rouge1: 0.1639
- Rouge2: 0.0
- Rougel: 0.1337
- Rougelsum: 0.1357
- Gen Len: 11.4
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 | 6 | 4.2311 | 0.1365 | 0.0 | 0.1103 | 0.1102 | 12.1 |
| No log | 2.0 | 12 | 4.1437 | 0.1668 | 0.0 | 0.1321 | 0.1332 | 13.2 |
| No log | 3.0 | 18 | 4.0572 | 0.143 | 0.0 | 0.1152 | 0.1152 | 11.8 |
| No log | 4.0 | 24 | 4.0241 | 0.1639 | 0.0 | 0.1337 | 0.1357 | 11.4 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3