---
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
model-index:
- name: XLnet-cased-AS-HU-f1-score
  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-cased-AS-HU-f1-score

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: 0.5247
- F1-score: 0.7609

## 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: 5e-05
- train_batch_size: 16
- 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 | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7055        | 1.0   | 64   | 0.6796          | 0.3697   |
| 0.6944        | 2.0   | 128  | 0.6786          | 0.3697   |
| 0.7           | 3.0   | 192  | 0.6800          | 0.3697   |
| 0.6818        | 4.0   | 256  | 0.6797          | 0.3697   |
| 0.6848        | 5.0   | 320  | 0.6902          | 0.3697   |
| 0.6898        | 6.0   | 384  | 0.6777          | 0.3697   |
| 0.6877        | 7.0   | 448  | 0.6648          | 0.3697   |
| 0.6805        | 8.0   | 512  | 0.6313          | 0.3697   |
| 0.5873        | 9.0   | 576  | 0.6145          | 0.6381   |
| 0.4984        | 10.0  | 640  | 0.5247          | 0.7609   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1