---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: mask-langauge-modeling
  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. -->

# mask-langauge-modeling

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4731

## 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: 0.0005
- 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8107        | 1.0   | 598  | 0.8552          |
| 0.8572        | 2.0   | 1196 | 0.8273          |
| 0.8655        | 3.0   | 1794 | 0.7705          |
| 0.8348        | 4.0   | 2392 | 0.7156          |
| 0.792         | 5.0   | 2990 | 0.6761          |
| 0.701         | 6.0   | 3588 | 0.6323          |
| 0.665         | 7.0   | 4186 | 0.6005          |
| 0.6257        | 8.0   | 4784 | 0.5602          |
| 0.5966        | 9.0   | 5382 | 0.5298          |
| 0.5674        | 10.0  | 5980 | 0.5153          |
| 0.5102        | 11.0  | 6578 | 0.4995          |
| 0.4888        | 12.0  | 7176 | 0.4816          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2