---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: hf-distilbert-imdb-mlm
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hf-distilbert-imdb-mlm

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0927

## 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: 64
- eval_batch_size: 64
- seed: 420
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5049        | 1.0   | 383  | 2.3056          |
| 2.3896        | 2.0   | 766  | 2.2460          |
| 2.3458        | 3.0   | 1149 | 2.2351          |
| 2.3097        | 4.0   | 1532 | 2.1917          |
| 2.2839        | 5.0   | 1915 | 2.1935          |
| 2.2611        | 6.0   | 2298 | 2.1741          |
| 2.2397        | 7.0   | 2681 | 2.1516          |
| 2.2234        | 8.0   | 3064 | 2.1464          |
| 2.2121        | 9.0   | 3447 | 2.1242          |
| 2.2041        | 10.0  | 3830 | 2.1361          |
| 2.1883        | 11.0  | 4213 | 2.1251          |
| 2.185         | 12.0  | 4596 | 2.1297          |
| 2.1712        | 13.0  | 4979 | 2.1062          |
| 2.1648        | 14.0  | 5362 | 2.1049          |
| 2.1587        | 15.0  | 5745 | 2.1066          |
| 2.1532        | 16.0  | 6128 | 2.0981          |
| 2.1472        | 17.0  | 6511 | 2.0926          |
| 2.1462        | 18.0  | 6894 | 2.0832          |
| 2.1437        | 19.0  | 7277 | 2.0937          |
| 2.1386        | 20.0  | 7660 | 2.0927          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3