---
library_name: transformers
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-nsp-10000-1e-06-16
  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-uncased-nsp-10000-1e-06-16

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: 0.3296

## 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-06
- train_batch_size: 64
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 157  | 0.7022          |
| 0.7432        | 2.0   | 314  | 0.6874          |
| 0.6949        | 3.0   | 471  | 0.6383          |
| 0.6413        | 4.0   | 628  | 0.5845          |
| 0.6413        | 5.0   | 785  | 0.5452          |
| 0.5838        | 6.0   | 942  | 0.4705          |
| 0.5095        | 7.0   | 1099 | 0.4255          |
| 0.4276        | 8.0   | 1256 | 0.4012          |
| 0.3848        | 9.0   | 1413 | 0.3864          |
| 0.3848        | 10.0  | 1570 | 0.3709          |
| 0.358         | 11.0  | 1727 | 0.3579          |
| 0.3262        | 12.0  | 1884 | 0.3495          |
| 0.3081        | 13.0  | 2041 | 0.3476          |
| 0.3081        | 14.0  | 2198 | 0.3432          |
| 0.2827        | 15.0  | 2355 | 0.3390          |
| 0.2728        | 16.0  | 2512 | 0.3378          |
| 0.2584        | 17.0  | 2669 | 0.3337          |
| 0.2506        | 18.0  | 2826 | 0.3375          |
| 0.2506        | 19.0  | 2983 | 0.3306          |
| 0.2337        | 20.0  | 3140 | 0.3296          |
| 0.2196        | 21.0  | 3297 | 0.3327          |
| 0.2146        | 22.0  | 3454 | 0.3334          |
| 0.2148        | 23.0  | 3611 | 0.3343          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1