---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an [Kwaai/IMDB_Sentiment](https://huggingface.co/datasets/Kwaai/IMDB_Sentiment) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3875

## 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: 0.002
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5455        | 1.0   | 782  | 0.4385          |
| 0.4874        | 2.0   | 1564 | 0.4432          |
| 0.4862        | 3.0   | 2346 | 0.4612          |
| 0.4723        | 4.0   | 3128 | 0.4084          |
| 0.4641        | 5.0   | 3910 | 0.4454          |
| 0.4655        | 6.0   | 4692 | 0.3979          |
| 0.4609        | 7.0   | 5474 | 0.3867          |
| 0.4551        | 8.0   | 6256 | 0.3876          |
| 0.4546        | 9.0   | 7038 | 0.3835          |
| 0.4525        | 10.0  | 7820 | 0.3875          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1