---
license: mit
base_model: xlnet/xlnet-base-cased
tags:
- generated_from_trainer
model-index:
- name: xlnet_base_all
  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_base_all

This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4611

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3162        | 1.0   | 1949  | 0.4187          |
| 0.1553        | 2.0   | 3898  | 0.3679          |
| 0.1649        | 3.0   | 5847  | 0.3724          |
| 0.2501        | 4.0   | 7796  | 0.3303          |
| 0.2847        | 5.0   | 9745  | 0.3959          |
| 0.2092        | 6.0   | 11694 | 0.4093          |
| 0.0744        | 7.0   | 13643 | 0.4144          |
| 0.0403        | 8.0   | 15592 | 0.4852          |
| 0.0003        | 9.0   | 17541 | 0.4603          |
| 0.0002        | 10.0  | 19490 | 0.4611          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1