---
base_model: ''
tags:
- generated_from_trainer
model-index:
- name: NLP-HW5-BertPosNerTaggerModel
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# NLP-HW5-BertPosNerTaggerModel

This model is a fine-tuned version of [](https://huggingface.co./) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1397

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8866        | 1.0   | 878  | 0.2265          |
| 0.2353        | 2.0   | 1756 | 0.1606          |
| 0.1767        | 3.0   | 2634 | 0.1397          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3