metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- f1
model-index:
- name: bert-base-multilingual-cased-finetuned-klue-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: klue
type: klue
config: ner
split: validation
args: ner
metrics:
- name: F1
type: f1
value: 0.42450291223137177
bert-base-multilingual-cased-finetuned-klue-ner
This model is a fine-tuned version of bert-base-multilingual-cased on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.3168
- F1: 0.4245
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: 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 | F1 |
---|---|---|---|---|
0.4374 | 1.0 | 1313 | 0.3941 | 0.3253 |
0.2894 | 2.0 | 2626 | 0.3350 | 0.3949 |
0.2265 | 3.0 | 3939 | 0.3168 | 0.4245 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3