|
--- |
|
license: apache-2.0 |
|
base_model: t5-small |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: T5Model_for_Ecommerce |
|
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. --> |
|
|
|
# T5Model_for_Ecommerce |
|
|
|
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: 1.0925 |
|
- Rouge1: 0.0 |
|
- Rouge2: 0.0 |
|
- Rougel: 0.0 |
|
- Rougelsum: 0.0 |
|
- Gen Len: 0.0 |
|
|
|
## 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: 15 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
|
| No log | 1.0 | 27 | 4.2405 | 0.2073 | 0.0872 | 0.1748 | 0.1742 | 19.0 | |
|
| No log | 2.0 | 54 | 1.6978 | 0.0364 | 0.0169 | 0.0301 | 0.0297 | 2.8148 | |
|
| No log | 3.0 | 81 | 1.4167 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 4.0 | 108 | 1.3413 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 5.0 | 135 | 1.2888 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 6.0 | 162 | 1.2486 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 7.0 | 189 | 1.2120 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 8.0 | 216 | 1.1818 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 9.0 | 243 | 1.1546 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 10.0 | 270 | 1.1346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 11.0 | 297 | 1.1174 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 12.0 | 324 | 1.1063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 13.0 | 351 | 1.0991 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 14.0 | 378 | 1.0940 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 15.0 | 405 | 1.0925 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.0 |
|
- Tokenizers 0.15.0 |
|
|
