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license: apache-2.0
base_model: yimiwang/bert-petco-emailbody-ctr
tags:
- generated_from_trainer
model-index:
- name: roberta-petco-fullemailbody-ctr
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. -->
# roberta-petco-fullemailbody-ctr
This model is a fine-tuned version of [yimiwang/bert-petco-emailbody-ctr](https://huggingface.co/yimiwang/bert-petco-emailbody-ctr) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0032
- Mse: 0.0032
- Rmse: 0.0568
- Mae: 0.0421
- R2: 0.3701
## 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: 1e-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: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.0073 | 1.0 | 15 | 0.0044 | 0.0044 | 0.0660 | 0.0490 | 0.1516 |
| 0.0064 | 2.0 | 30 | 0.0042 | 0.0042 | 0.0647 | 0.0511 | 0.1826 |
| 0.0056 | 3.0 | 45 | 0.0046 | 0.0046 | 0.0681 | 0.0497 | 0.0951 |
| 0.0041 | 4.0 | 60 | 0.0037 | 0.0037 | 0.0611 | 0.0452 | 0.2723 |
| 0.0043 | 5.0 | 75 | 0.0039 | 0.0039 | 0.0625 | 0.0460 | 0.2390 |
| 0.0034 | 6.0 | 90 | 0.0035 | 0.0035 | 0.0592 | 0.0449 | 0.3155 |
| 0.0031 | 7.0 | 105 | 0.0036 | 0.0036 | 0.0597 | 0.0476 | 0.3040 |
| 0.003 | 8.0 | 120 | 0.0035 | 0.0035 | 0.0588 | 0.0470 | 0.3255 |
| 0.0029 | 9.0 | 135 | 0.0038 | 0.0038 | 0.0617 | 0.0452 | 0.2582 |
| 0.0023 | 10.0 | 150 | 0.0037 | 0.0037 | 0.0609 | 0.0469 | 0.2767 |
| 0.0023 | 11.0 | 165 | 0.0035 | 0.0035 | 0.0593 | 0.0444 | 0.3135 |
| 0.0021 | 12.0 | 180 | 0.0040 | 0.0040 | 0.0633 | 0.0467 | 0.2179 |
| 0.0024 | 13.0 | 195 | 0.0034 | 0.0034 | 0.0585 | 0.0449 | 0.3327 |
| 0.0024 | 14.0 | 210 | 0.0033 | 0.0033 | 0.0572 | 0.0434 | 0.3620 |
| 0.002 | 15.0 | 225 | 0.0032 | 0.0032 | 0.0568 | 0.0421 | 0.3701 |
| 0.0019 | 16.0 | 240 | 0.0034 | 0.0034 | 0.0581 | 0.0426 | 0.3425 |
| 0.002 | 17.0 | 255 | 0.0035 | 0.0035 | 0.0594 | 0.0439 | 0.3123 |
| 0.0016 | 18.0 | 270 | 0.0033 | 0.0033 | 0.0573 | 0.0426 | 0.3609 |
| 0.0018 | 19.0 | 285 | 0.0033 | 0.0033 | 0.0573 | 0.0424 | 0.3603 |
| 0.0017 | 20.0 | 300 | 0.0032 | 0.0032 | 0.0570 | 0.0423 | 0.3674 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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