---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: '584_32_1'
  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. -->

# 584_32_1

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: 1.3309
- Accuracy: 0.7104

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 121  | 1.4221          | 0.25     |
| No log        | 2.0   | 242  | 1.3270          | 0.4208   |
| No log        | 3.0   | 363  | 0.9673          | 0.6125   |
| No log        | 4.0   | 484  | 0.8277          | 0.6687   |
| 1.2322        | 5.0   | 605  | 0.7791          | 0.6979   |
| 1.2322        | 6.0   | 726  | 0.8398          | 0.6896   |
| 1.2322        | 7.0   | 847  | 0.7810          | 0.7      |
| 1.2322        | 8.0   | 968  | 0.8186          | 0.7125   |
| 0.5026        | 9.0   | 1089 | 0.9361          | 0.7104   |
| 0.5026        | 10.0  | 1210 | 0.9895          | 0.7104   |
| 0.5026        | 11.0  | 1331 | 1.0266          | 0.6958   |
| 0.5026        | 12.0  | 1452 | 1.1067          | 0.7146   |
| 0.1724        | 13.0  | 1573 | 1.0984          | 0.7104   |
| 0.1724        | 14.0  | 1694 | 1.1876          | 0.7063   |
| 0.1724        | 15.0  | 1815 | 1.2408          | 0.7021   |
| 0.1724        | 16.0  | 1936 | 1.2624          | 0.6979   |
| 0.074         | 17.0  | 2057 | 1.2954          | 0.7104   |
| 0.074         | 18.0  | 2178 | 1.2911          | 0.7104   |
| 0.074         | 19.0  | 2299 | 1.3218          | 0.7104   |
| 0.074         | 20.0  | 2420 | 1.3309          | 0.7104   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1