---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-ner
  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-finetuned-ner

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1090

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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   | 70   | 8.6531          |
| No log        | 2.0   | 140  | 8.3935          |
| No log        | 3.0   | 210  | 8.2279          |
| No log        | 4.0   | 280  | 8.0728          |
| No log        | 5.0   | 350  | 7.9139          |
| No log        | 6.0   | 420  | 7.7655          |
| No log        | 7.0   | 490  | 7.6321          |
| 8.2602        | 8.0   | 560  | 7.4960          |
| 8.2602        | 9.0   | 630  | 7.3789          |
| 8.2602        | 10.0  | 700  | 7.2505          |
| 8.2602        | 11.0  | 770  | 7.1390          |
| 8.2602        | 12.0  | 840  | 7.0327          |
| 8.2602        | 13.0  | 910  | 6.9259          |
| 8.2602        | 14.0  | 980  | 6.8442          |
| 7.4097        | 15.0  | 1050 | 6.7584          |
| 7.4097        | 16.0  | 1120 | 6.6727          |
| 7.4097        | 17.0  | 1190 | 6.5904          |
| 7.4097        | 18.0  | 1260 | 6.5285          |
| 7.4097        | 19.0  | 1330 | 6.4555          |
| 7.4097        | 20.0  | 1400 | 6.4051          |
| 7.4097        | 21.0  | 1470 | 6.3435          |
| 6.82          | 22.0  | 1540 | 6.2980          |
| 6.82          | 23.0  | 1610 | 6.2529          |
| 6.82          | 24.0  | 1680 | 6.2188          |
| 6.82          | 25.0  | 1750 | 6.1833          |
| 6.82          | 26.0  | 1820 | 6.1628          |
| 6.82          | 27.0  | 1890 | 6.1386          |
| 6.82          | 28.0  | 1960 | 6.1211          |
| 6.4746        | 29.0  | 2030 | 6.1138          |
| 6.4746        | 30.0  | 2100 | 6.1090          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2