---
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base
  results: []
---

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# distilroberta-base

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2128
- F1 Score: 0.9697

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.301         | 1.0   | 873  | 0.1875          | 0.9409   |
| 0.1426        | 2.0   | 1746 | 0.1306          | 0.9572   |
| 0.0833        | 3.0   | 2619 | 0.1042          | 0.9661   |
| 0.0671        | 4.0   | 3492 | 0.1528          | 0.9686   |
| 0.038         | 5.0   | 4365 | 0.1612          | 0.9684   |
| 0.0304        | 6.0   | 5238 | 0.1648          | 0.9707   |
| 0.017         | 7.0   | 6111 | 0.2173          | 0.9665   |
| 0.0101        | 8.0   | 6984 | 0.2048          | 0.9700   |
| 0.0083        | 9.0   | 7857 | 0.2138          | 0.9691   |
| 0.0066        | 10.0  | 8730 | 0.2128          | 0.9697   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3