---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: base_model
  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. -->

# base_model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9156
- F1: 0.7112

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0269        | 1.0   | 22   | 0.9767          | 0.3192 |
| 0.9372        | 2.0   | 44   | 0.9233          | 0.4689 |
| 0.7988        | 3.0   | 66   | 0.8628          | 0.5678 |
| 0.6139        | 4.0   | 88   | 0.8515          | 0.6001 |
| 0.4226        | 5.0   | 110  | 0.9094          | 0.6003 |
| 0.2551        | 6.0   | 132  | 1.0029          | 0.6192 |
| 0.1439        | 7.0   | 154  | 1.0345          | 0.6581 |
| 0.0872        | 8.0   | 176  | 1.1825          | 0.6431 |
| 0.0702        | 9.0   | 198  | 1.2059          | 0.6468 |
| 0.0497        | 10.0  | 220  | 1.2089          | 0.6403 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3