---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Regression_xlnet_aug_MSEloss
  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. -->

# Regression_xlnet_aug_MSEloss

This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4900
- Mse: 0.4900
- Mae: 0.5762
- R2: -0.0876
- Accuracy: 0.4533

## 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: 1e-12
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
| No log        | 1.0   | 263  | 0.4123          | 0.4123 | 0.5313 | 0.0379 | 0.4633   |
| 0.4874        | 2.0   | 526  | 0.4123          | 0.4123 | 0.5313 | 0.0379 | 0.4633   |
| 0.4874        | 3.0   | 789  | 0.4123          | 0.4123 | 0.5313 | 0.0379 | 0.4633   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3