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xlm-roberta-base-finetuned-msra – AI Model by jiaweiyu | AlphaNeural AI
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xlm-roberta-base-finetuned-msra
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transformers
tensorboard
safetensors
xlm-roberta
token-classification
generated_from_trainer
msra_ner
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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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
