---
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-large
  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-large

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9621
- Accuracy: 0.8887

## 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: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 782   | 0.2848          | 0.8852   |
| 0.3133        | 2.0   | 1564  | 0.3038          | 0.8888   |
| 0.1751        | 3.0   | 2346  | 0.5035          | 0.8791   |
| 0.1057        | 4.0   | 3128  | 0.5942          | 0.885    |
| 0.1057        | 5.0   | 3910  | 0.5220          | 0.8764   |
| 0.0733        | 6.0   | 4692  | 0.6981          | 0.8823   |
| 0.0439        | 7.0   | 5474  | 0.6775          | 0.8833   |
| 0.0371        | 8.0   | 6256  | 0.6118          | 0.8891   |
| 0.0277        | 9.0   | 7038  | 0.7128          | 0.8864   |
| 0.0277        | 10.0  | 7820  | 0.7555          | 0.8868   |
| 0.0202        | 11.0  | 8602  | 0.7618          | 0.8888   |
| 0.0141        | 12.0  | 9384  | 0.7654          | 0.8842   |
| 0.0125        | 13.0  | 10166 | 0.8345          | 0.8867   |
| 0.0125        | 14.0  | 10948 | 0.8073          | 0.8844   |
| 0.0077        | 15.0  | 11730 | 0.7047          | 0.8887   |
| 0.0071        | 16.0  | 12512 | 0.8622          | 0.8891   |
| 0.004         | 17.0  | 13294 | 0.8655          | 0.8900   |
| 0.0031        | 18.0  | 14076 | 0.9096          | 0.8898   |
| 0.0031        | 19.0  | 14858 | 0.9454          | 0.8892   |
| 0.0016        | 20.0  | 15640 | 0.9621          | 0.8887   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2