---
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
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# 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