---
license: mit
base_model: xlnet/xlnet-base-cased
tags:
- generated_from_trainer
model-index:
- name: xlnet-finetuned-combo-textbook
  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-finetuned-combo-textbook

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: 3.0808

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.253         | 1.0   | 4936  | 4.0294          |
| 3.9996        | 2.0   | 9872  | 3.7778          |
| 3.7934        | 3.0   | 14808 | 3.6649          |
| 3.6521        | 4.0   | 19744 | 3.5187          |
| 3.4482        | 5.0   | 24680 | 3.4388          |
| 3.3614        | 6.0   | 29616 | 3.3667          |
| 3.2806        | 7.0   | 34552 | 3.2489          |
| 3.1099        | 8.0   | 39488 | 3.1831          |
| 2.9822        | 9.0   | 44424 | 3.1453          |
| 2.9188        | 10.0  | 49360 | 3.0808          |


### Framework versions

- Transformers 4.38.2
- Pytorch 1.13.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2