---
tags:
- generated_from_trainer
datasets:
- oscar
model_index:
- name: esberto-small
  results:
  - task:
      name: Masked Language Modeling
      type: fill-mask
    dataset:
      name: oscar
      type: oscar
      args: unshuffled_original_eo
---

<!-- 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. -->

# esberto-small

This model is a fine-tuned version of [](https://huggingface.co/) on the oscar dataset.

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.10.0.dev0
- Pytorch 1.9.0+cu102
- Datasets 1.10.3.dev0
- Tokenizers 0.10.3