---
tags:
- generated_from_trainer
model-index:
- name: few_shot_ner
  results: []
---

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# few_shot_ner

This model is a fine-tuned version of [qgyd2021/few_shot_ner](https://huggingface.co./qgyd2021/few_shot_ner) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6024

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.563         | 0.08  | 1000 | 0.6020          |
| 0.578         | 0.15  | 2000 | 0.6043          |
| 0.5821        | 0.23  | 3000 | 0.6059          |
| 0.5799        | 0.3   | 4000 | 0.6048          |
| 0.5851        | 0.38  | 5000 | 0.6033          |
| 0.5811        | 0.46  | 6000 | 0.6024          |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.13.0+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3