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---
tags:
- generated_from_trainer
datasets:
- cfilt/HiNER-original
metrics:
- precision
- recall
- f1
model-index:
- name: HiNER-original-xlm-roberta-large
results:
- task:
name: Token Classification
type: token-classification
dataset:
type: cfilt/HiNER-original
name: HiNER Original
metrics:
- name: Precision
type: precision
value: 0.8968858782575971
- name: Recall
type: recall
value: 0.8871207891308394
- name: F1
type: f1
value: 0.8919766081871345
---
<!-- 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. -->
# HiNER-original-xlm-roberta-large
This model was trained from scratch on HiNER-original dataset.
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
### Framework versions
- Transformers 4.14.0
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3
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