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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilr-lr1e05-wd0.01-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-wd0.01-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: 0.2746
- Rmse: 0.5241
- Mse: 0.2746
- Mae: 0.4153
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 0.2769 | 1.0 | 623 | 0.2740 | 0.5234 | 0.2740 | 0.4230 |
| 0.2735 | 2.0 | 1246 | 0.2726 | 0.5221 | 0.2726 | 0.4093 |
| 0.272 | 3.0 | 1869 | 0.2732 | 0.5227 | 0.2732 | 0.4190 |
| 0.2699 | 4.0 | 2492 | 0.2737 | 0.5231 | 0.2737 | 0.4027 |
| 0.2682 | 5.0 | 3115 | 0.2783 | 0.5276 | 0.2783 | 0.4265 |
| 0.2665 | 6.0 | 3738 | 0.2746 | 0.5241 | 0.2746 | 0.4153 |
### Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1
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