---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: micro_base_help_class_no_pre_seed_2
  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_2

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: 0.3300
- Accuracy: 0.862
- F1 Macro: 0.6407

## 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: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3698        | 1.0   | 313  | 0.3706          | 0.8534   | 0.4605   |
| 0.3166        | 2.0   | 626  | 0.3448          | 0.8562   | 0.6411   |
| 0.2727        | 3.0   | 939  | 0.4133          | 0.858    | 0.5708   |
| 0.2239        | 4.0   | 1252 | 0.4942          | 0.8562   | 0.5869   |
| 0.174         | 5.0   | 1565 | 0.6633          | 0.8542   | 0.6338   |


### Framework versions

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