---
license: mit
tags:
- generated_from_trainer
model-index:
- name: mytest_trainer_base-cased
  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. -->

# mytest_trainer_base-cased

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: 0.9503
- Rmse: 0.7134

## 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 | Rmse   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9734        | 1.0   | 500  | 0.9593          | 0.9513 |
| 0.966         | 2.0   | 1000 | 0.9822          | 0.7134 |
| 0.9643        | 3.0   | 1500 | 0.9556          | 0.7134 |
| 0.9615        | 4.0   | 2000 | 0.9510          | 0.7134 |
| 0.959         | 5.0   | 2500 | 0.9540          | 0.7134 |
| 0.9572        | 6.0   | 3000 | 0.9503          | 0.7134 |
| 0.9571        | 7.0   | 3500 | 0.9760          | 0.7134 |
| 0.9561        | 8.0   | 4000 | 0.9534          | 0.7134 |
| 0.9526        | 9.0   | 4500 | 0.9500          | 0.7134 |
| 0.9527        | 10.0  | 5000 | 0.9503          | 0.7134 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3