---
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
should probably proofread and complete it, then remove this comment. -->

# 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: 1.2353

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0991        | 1.0   | 291  | 1.7002          |
| 1.6295        | 2.0   | 582  | 1.5208          |
| 1.4967        | 3.0   | 873  | 1.3521          |
| 1.3965        | 4.0   | 1164 | 1.3367          |
| 1.332         | 5.0   | 1455 | 1.2266          |
| 1.285         | 6.0   | 1746 | 1.3645          |
| 1.2314        | 7.0   | 2037 | 1.2992          |
| 1.2027        | 8.0   | 2328 | 1.3514          |
| 1.1688        | 9.0   | 2619 | 1.2146          |
| 1.1407        | 10.0  | 2910 | 1.1802          |
| 1.1272        | 11.0  | 3201 | 1.1346          |
| 1.1131        | 12.0  | 3492 | 1.1902          |
| 1.0892        | 13.0  | 3783 | 1.2254          |
| 1.0755        | 14.0  | 4074 | 1.2124          |
| 1.0741        | 15.0  | 4365 | 1.2180          |
| 1.0604        | 16.0  | 4656 | 1.2353          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1