metadata

license: mit
base_model: xlm-roberta-base
tags:
  - generated_from_trainer
datasets:
  - msra_ner
metrics:
  - f1
model-index:
  - name: xlm-roberta-base-finetuned-msra
    results: []

xlm-roberta-base-finetuned-msra

This model is a fine-tuned version of xlm-roberta-base on the msra_ner dataset. It achieves the following results on the evaluation set:

Loss: 0.0661
F1: 0.8221

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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.1946	1.0	938	0.0948	0.6865
0.0744	2.0	1876	0.0813	0.7592
0.0466	3.0	2814	0.0697	0.7956
0.0307	4.0	3752	0.0655	0.8104
0.0219	5.0	4690	0.0661	0.8221

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1