---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: micro_base_help_class_no_pre_seed_0
  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. -->

# micro_base_help_class_no_pre_seed_0

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9454
- Accuracy: 0.8456
- F1 Macro: 0.6500

## 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: 0
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3239        | 1.0   | 313  | 0.3666          | 0.8572   | 0.5370   |
| 0.3208        | 2.0   | 626  | 0.3962          | 0.8536   | 0.4632   |
| 0.2688        | 3.0   | 939  | 0.3881          | 0.8622   | 0.5912   |
| 0.2105        | 4.0   | 1252 | 0.5269          | 0.8616   | 0.5922   |
| 0.1625        | 5.0   | 1565 | 0.6255          | 0.859    | 0.6338   |
| 0.1188        | 6.0   | 1878 | 0.8231          | 0.8572   | 0.6169   |
| 0.052         | 7.0   | 2191 | 0.8230          | 0.8616   | 0.6189   |
| 0.053         | 8.0   | 2504 | 0.9466          | 0.8422   | 0.6496   |
| 0.0365        | 9.0   | 2817 | 0.9747          | 0.8556   | 0.6365   |
| 0.0452        | 10.0  | 3130 | 0.9923          | 0.8578   | 0.6360   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2