---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-issues-128
  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-issues-128

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: 1.2341

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- 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: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1014        | 1.0   | 291  | 1.7049          |
| 1.6352        | 2.0   | 582  | 1.5080          |
| 1.4965        | 3.0   | 873  | 1.3509          |
| 1.3996        | 4.0   | 1164 | 1.3444          |
| 1.333         | 5.0   | 1455 | 1.2414          |
| 1.2871        | 6.0   | 1746 | 1.3665          |
| 1.2358        | 7.0   | 2037 | 1.2885          |
| 1.2016        | 8.0   | 2328 | 1.3422          |
| 1.1692        | 9.0   | 2619 | 1.2215          |
| 1.145         | 10.0  | 2910 | 1.1708          |
| 1.1269        | 11.0  | 3201 | 1.1325          |
| 1.1127        | 12.0  | 3492 | 1.1719          |
| 1.0898        | 13.0  | 3783 | 1.2175          |
| 1.0759        | 14.0  | 4074 | 1.2070          |
| 1.0764        | 15.0  | 4365 | 1.2166          |
| 1.0608        | 16.0  | 4656 | 1.2341          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1