---
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
model-index:
- name: mytuned_test_trainer-base-cased1
  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. -->

# mytuned_test_trainer-base-cased1

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:
- eval_loss: 0.7836
- eval_rmse: 0.7145
- eval_runtime: 5.7466
- eval_samples_per_second: 348.03
- eval_steps_per_second: 43.504
- epoch: 3.27
- step: 1633

## 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

### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3