---
license: apache-2.0
tags:
- generated_from_trainer
base_model: bert-base-uncased
model-index:
- name: bert-base-uncased-finetuned-imdb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-finetuned-imdb

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2082

## 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-06
- 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: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 60   | 6.8866          |
| No log        | 2.0   | 120  | 4.1530          |
| No log        | 3.0   | 180  | 2.8300          |
| No log        | 4.0   | 240  | 2.1248          |
| No log        | 5.0   | 300  | 1.7365          |
| No log        | 6.0   | 360  | 1.5032          |
| No log        | 7.0   | 420  | 1.3602          |
| No log        | 8.0   | 480  | 1.2720          |
| 3.649         | 9.0   | 540  | 1.2241          |
| 3.649         | 10.0  | 600  | 1.2082          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2