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---
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: XLNet-Toxic-Comment
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. -->
# XLNet-Toxic-Comment
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: 0.4431
- Rmse: 0.3106
- Accuracy: 0.9035
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse | Accuracy | Precision | Recall | F1 |
|:-------------:|:-----:|:------:|:---------------:|:------:|:--------:|:---------:|:------:|:---:|
| 0.4641 | 1.0 | 61873 | 0.5115 | 0.3106 | 0.9035 | 0.0 | 0.0 | 0.0 |
| 0.5065 | 2.0 | 123746 | 0.4431 | 0.3106 | 0.9035 | 0.0 | 0.0 | 0.0 |
| 0.5033 | 3.0 | 185619 | 0.4734 | 0.3106 | 0.9035 | 0.0 | 0.0 | 0.0 |
| 0.5004 | 4.0 | 247492 | 0.4710 | 0.3106 | 0.9035 | 0.0 | 0.0 | 0.0 |
### Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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