---
license: mit
base_model: filevich/robertita-cased
tags:
- generated_from_trainer
model-index:
- name: robertita-cased-finetuned-quales
  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. -->

# robertita-cased-finetuned-quales

This model is a fine-tuned version of [filevich/robertita-cased](https://huggingface.co/filevich/robertita-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4854

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6568        | 1.0   | 960  | 0.4299          |
| 0.2565        | 2.0   | 1920 | 0.4342          |
| 0.1657        | 3.0   | 2880 | 0.4854          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1