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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: product_description_generator
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# product_description_generator
This model is a fine-tuned version of [t5-small](https://huggingface.co/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
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