---
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/bert_uncased_L-12_H-768_A-12
model-index:
- name: base-mlm-imdb
  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. -->

# base-mlm-imdb

This model is a fine-tuned version of [google/bert_uncased_L-12_H-768_A-12](https://huggingface.co/google/bert_uncased_L-12_H-768_A-12) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9103

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1149        | 0.16  | 500  | 1.9627          |
| 2.0674        | 0.32  | 1000 | 1.9620          |
| 2.0582        | 0.48  | 1500 | 1.9502          |
| 2.0542        | 0.64  | 2000 | 1.9418          |
| 2.0398        | 0.8   | 2500 | 1.9223          |
| 2.037         | 0.96  | 3000 | 1.9220          |
| 1.9831        | 1.12  | 3500 | 1.9247          |
| 1.972         | 1.28  | 4000 | 1.9123          |
| 1.9708        | 1.44  | 4500 | 1.9122          |
| 1.967         | 1.6   | 5000 | 1.9097          |
| 1.9582        | 1.76  | 5500 | 1.9085          |
| 1.9715        | 1.92  | 6000 | 1.9099          |
| 1.9459        | 2.08  | 6500 | 1.9113          |
| 1.9384        | 2.24  | 7000 | 1.9103          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2