---
license: apache-2.0
tags:
- generated_from_trainer
base_model: distilbert-base-uncased
model-index:
- name: hf-distilbert-imdb-mlm-cosine
  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-cosine

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: 2.0939

## 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: cosine
- num_epochs: 20.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5054        | 1.0   | 383  | 2.3043          |
| 2.3885        | 2.0   | 766  | 2.2447          |
| 2.3418        | 3.0   | 1149 | 2.2319          |
| 2.3045        | 4.0   | 1532 | 2.1883          |
| 2.2772        | 5.0   | 1915 | 2.1893          |
| 2.2543        | 6.0   | 2298 | 2.1683          |
| 2.2308        | 7.0   | 2681 | 2.1454          |
| 2.2139        | 8.0   | 3064 | 2.1403          |
| 2.2008        | 9.0   | 3447 | 2.1165          |
| 2.1937        | 10.0  | 3830 | 2.1281          |
| 2.1778        | 11.0  | 4213 | 2.1189          |
| 2.1742        | 12.0  | 4596 | 2.1218          |
| 2.1611        | 13.0  | 4979 | 2.0996          |
| 2.1562        | 14.0  | 5362 | 2.0992          |
| 2.1508        | 15.0  | 5745 | 2.1013          |
| 2.1469        | 16.0  | 6128 | 2.0945          |
| 2.1437        | 17.0  | 6511 | 2.0899          |
| 2.1436        | 18.0  | 6894 | 2.0827          |
| 2.1443        | 19.0  | 7277 | 2.0935          |
| 2.1389        | 20.0  | 7660 | 2.0939          |


### Framework versions

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