---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: micro_base_help_class_no_pre_seed_4
  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_4

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: 0.8233
- Accuracy: 0.852
- F1 Macro: 0.6640

## 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: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3665        | 1.0   | 313  | 0.3598          | 0.8536   | 0.4619   |
| 0.3132        | 2.0   | 626  | 0.3678          | 0.8634   | 0.5801   |
| 0.2547        | 3.0   | 939  | 0.3785          | 0.8456   | 0.6196   |
| 0.1904        | 4.0   | 1252 | 0.5449          | 0.8444   | 0.6189   |
| 0.1679        | 5.0   | 1565 | 0.7422          | 0.8528   | 0.5954   |
| 0.1157        | 6.0   | 1878 | 0.9005          | 0.8404   | 0.6468   |
| 0.094         | 7.0   | 2191 | 0.9842          | 0.8466   | 0.6246   |
| 0.0494        | 8.0   | 2504 | 1.0898          | 0.8476   | 0.6083   |
| 0.015         | 9.0   | 2817 | 1.2454          | 0.844    | 0.6390   |


### Framework versions

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