---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: small-mlm-squad-plain_text-custom-tokenizer
  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. -->

# small-mlm-squad-plain_text-custom-tokenizer

This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.8251

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.5581        | 0.4   | 500  | 6.9007          |
| 5.66          | 0.8   | 1000 | 6.8893          |
| 5.3942        | 1.2   | 1500 | 6.6270          |
| 5.1249        | 1.6   | 2000 | 6.7435          |
| 5.102         | 2.0   | 2500 | 6.6234          |
| 4.9016        | 2.4   | 3000 | 6.7771          |
| 4.9955        | 2.8   | 3500 | 6.8320          |
| 4.9036        | 3.2   | 4000 | 6.8251          |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2