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xlm-roberta-base-finetuned-wikiann – AI Model by Brikowski | AlphaNeural AI
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Brikowski
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xlm-roberta-base-finetuned-wikiann
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-wikiann
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1638
F1: 0.8878
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: 24
eval_batch_size: 24
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
0.2426
1.0
5000
0.1882
0.8495
0.1475
2.0
10000
0.1618
0.8807
0.1003
3.0
15000
0.1638
0.8878
Framework versions
Transformers 4.27.3
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2
