---
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: XLNet-Reddit-Toxic-Comment-Classification-10-epochs
  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-10-epochs

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: 0.3201
- Rmse: 0.2815
- Accuracy: 0.9208

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rmse   | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
| 0.373         | 1.0   | 1073  | 0.3241          | 0.3053 | 0.9068   |
| 0.2543        | 2.0   | 2146  | 0.3201          | 0.2815 | 0.9208   |
| 0.2           | 3.0   | 3219  | 0.4140          | 0.2764 | 0.9236   |
| 0.1553        | 4.0   | 4292  | 0.3502          | 0.2896 | 0.9161   |
| 0.1273        | 5.0   | 5365  | 0.4866          | 0.3007 | 0.9096   |
| 0.0914        | 6.0   | 6438  | 0.4858          | 0.2781 | 0.9226   |
| 0.0808        | 7.0   | 7511  | 0.4164          | 0.2713 | 0.9264   |
| 0.0555        | 8.0   | 8584  | 0.4323          | 0.2731 | 0.9254   |
| 0.0448        | 9.0   | 9657  | 0.4782          | 0.2847 | 0.9189   |
| 0.0339        | 10.0  | 10730 | 0.5052          | 0.2864 | 0.9180   |


### Framework versions

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