---
tags:
- generated_from_trainer
model-index:
- name: RoBERTa-ext-large-crf-chinese-finetuned-ner
  results: []
---

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# RoBERTa-ext-large-crf-chinese-finetuned-ner

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 93.6921
- eval_precision: 0.6788
- eval_recall: 0.7538
- eval_f1: 0.7143
- eval_accuracy: 0.9634
- eval_runtime: 23.7231
- eval_samples_per_second: 21.203
- eval_steps_per_second: 2.656
- step: 0

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0