pytorch tensorboard bert fill-mask transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
model-index:
- name: dlub-2022-mlm
  results: []
---

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# dlub-2022-mlm

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.4546

## 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: 32
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 9.8099        | 1.0   | 21   | 9.4443          |
| 9.3908        | 2.0   | 42   | 9.2228          |
| 9.1669        | 3.0   | 63   | 9.0097          |
| 8.9354        | 4.0   | 84   | 8.8081          |
| 8.796         | 5.0   | 105  | 8.7315          |
| 8.6805        | 6.0   | 126  | 8.5933          |
| 8.5896        | 7.0   | 147  | 8.5477          |
| 8.525         | 8.0   | 168  | 8.4861          |
| 8.5446        | 9.0   | 189  | 8.4176          |
| 8.4874        | 10.0  | 210  | 8.4546          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
