---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: micro_base_help_class_no_pre_seed_1
  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_1

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: 0.8288
- Accuracy: 0.8506
- F1 Macro: 0.6496

## 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: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3574        | 1.0   | 313  | 0.3915          | 0.8544   | 0.5436   |
| 0.3281        | 2.0   | 626  | 0.3468          | 0.8542   | 0.6399   |
| 0.2822        | 3.0   | 939  | 0.4199          | 0.8618   | 0.5364   |
| 0.2347        | 4.0   | 1252 | 0.4397          | 0.8552   | 0.6567   |
| 0.1707        | 5.0   | 1565 | 0.5268          | 0.8584   | 0.6031   |
| 0.0992        | 6.0   | 1878 | 0.8439          | 0.85     | 0.6609   |
| 0.0891        | 7.0   | 2191 | 0.8919          | 0.8506   | 0.6486   |
| 0.0506        | 8.0   | 2504 | 0.9836          | 0.857    | 0.6425   |
| 0.0387        | 9.0   | 2817 | 1.0062          | 0.8536   | 0.6354   |


### Framework versions

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