---
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: XLNet-Reddit-Toxic-Comment-Classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# XLNet-Reddit-Toxic-Comment-Classification

This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3448
- Rmse: 0.2976
- Accuracy: 0.9115
- Precision: 0.9153
- Recall: 0.9261
- F1: 0.9206

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rmse   | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|:------:|
| 0.7011        | 1.0   | 1073 | 0.6911          | 0.6674 | 0.5545   | 0.5545    | 1.0    | 0.7134 |
| 0.6829        | 2.0   | 2146 | 0.6936          | 0.7447 | 0.4455   | 0.0       | 0.0    | 0.0    |
| 0.7004        | 3.0   | 3219 | 0.6876          | 0.6674 | 0.5545   | 0.5545    | 1.0    | 0.7134 |
| 0.5187        | 4.0   | 4292 | 0.3967          | 0.3202 | 0.8975   | 0.9117    | 0.9025 | 0.9071 |
| 0.3208        | 5.0   | 5365 | 0.3448          | 0.2976 | 0.9115   | 0.9153    | 0.9261 | 0.9206 |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1