---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlnet-large_spell_5k_2_p3
  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-large_spell_5k_2_p3

This model is a fine-tuned version of [model_saves/xlnet-large_spell_5k_2_p2](https://huggingface.co/model_saves/xlnet-large_spell_5k_2_p2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4726
- Accuracy: 0.9405

## 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-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 52
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 15.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 268  | 0.4353          | 0.9405   |
| No log        | 2.0   | 536  | 0.4413          | 0.9400   |
| No log        | 3.0   | 804  | 0.4726          | 0.9405   |
| 0.3275        | 4.0   | 1072 | 0.5153          | 0.9397   |
| 0.3275        | 5.0   | 1340 | 0.5466          | 0.9391   |
| 0.3275        | 6.0   | 1608 | 0.5922          | 0.9385   |


### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1