|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- cfilt/HiNER-collapsed |
|
metrics: |
|
- precision |
|
- recall |
|
- f1 |
|
model-index: |
|
- name: HiNER-collapsed-xlm-roberta-base |
|
results: |
|
- task: |
|
name: Token Classification |
|
type: token-classification |
|
dataset: |
|
type: cfilt/HiNER-collapsed |
|
name: HiNER Collapsed |
|
metrics: |
|
- name: Precision |
|
type: precision |
|
value: 0.9137448834064936 |
|
- name: Recall |
|
type: recall |
|
value: 0.9296549644788663 |
|
- name: F1 |
|
type: f1 |
|
value: 0.9216312652954473 |
|
--- |
|
|
|
<!-- 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-collapsed-xlm-roberta-base |
|
|
|
This model was trained from scratch on the cfilt/HiNER-collapsed 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: 5e-05 |
|
- train_batch_size: 32 |
|
- 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 |
|
|
