|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: distilr-lr1e05-wd0.05-bs32 |
|
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. --> |
|
|
|
# distilr-lr1e05-wd0.05-bs32 |
|
|
|
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2743 |
|
- Rmse: 0.5237 |
|
- Mse: 0.2743 |
|
- Mae: 0.4135 |
|
|
|
## 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: 256 |
|
- eval_batch_size: 256 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rmse | Mse | Mae | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| |
|
| 0.2775 | 1.0 | 623 | 0.2735 | 0.5229 | 0.2735 | 0.4179 | |
|
| 0.2738 | 2.0 | 1246 | 0.2727 | 0.5222 | 0.2727 | 0.4126 | |
|
| 0.2722 | 3.0 | 1869 | 0.2727 | 0.5222 | 0.2727 | 0.4165 | |
|
| 0.2702 | 4.0 | 2492 | 0.2754 | 0.5248 | 0.2754 | 0.3997 | |
|
| 0.2684 | 5.0 | 3115 | 0.2765 | 0.5259 | 0.2765 | 0.4229 | |
|
| 0.2668 | 6.0 | 3738 | 0.2743 | 0.5237 | 0.2743 | 0.4135 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.19.0.dev0 |
|
- Pytorch 1.9.0+cu111 |
|
- Datasets 2.4.0 |
|
- Tokenizers 0.12.1 |
|
|
