---
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: my_awesome_bert_mlm_model
  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. -->

# my_awesome_bert_mlm_model

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

## 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: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6177        | 1.0   | 2495  | nan             |
| 0.4897        | 2.0   | 4990  | nan             |
| 0.52          | 3.0   | 7485  | nan             |
| 0.4819        | 4.0   | 9980  | nan             |
| 0.4579        | 5.0   | 12475 | nan             |
| 0.4826        | 6.0   | 14970 | nan             |
| 0.4627        | 7.0   | 17465 | nan             |
| 0.4844        | 8.0   | 19960 | nan             |
| 0.372         | 9.0   | 22455 | nan             |
| 0.4473        | 10.0  | 24950 | nan             |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1