---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilroberta-base-mic
  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. -->

# distilroberta-base-mic

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6948
- Accuracy: 0.7124
- F1: 0.7122

## 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: 5.8525604794432464e-05
- train_batch_size: 400
- eval_batch_size: 400
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 22   | 0.5543          | 0.7124   | 0.7056 |
| No log        | 2.0   | 44   | 0.5304          | 0.7209   | 0.7191 |
| No log        | 3.0   | 66   | 0.5412          | 0.7331   | 0.7314 |
| No log        | 4.0   | 88   | 0.5614          | 0.7190   | 0.7175 |
| No log        | 5.0   | 110  | 0.6271          | 0.7133   | 0.7120 |
| No log        | 6.0   | 132  | 0.6746          | 0.7030   | 0.7024 |
| No log        | 7.0   | 154  | 0.6948          | 0.7124   | 0.7122 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1