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xlm-roberta-large-ner-silvanus – AI Model by rollerhafeezh-amikom | AlphaNeural AI
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xlm-roberta-large-ner-silvanus
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transformers
tensorboard
safetensors
xlm-roberta
token-classification
generated_from_trainer
wikiann
FacebookAI/xlm-roberta-large
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-ner-silvanus
This model is a fine-tuned version of
xlm-roberta-large
on the wikiann dataset. It achieves the following results on the evaluation set:
Loss: 0.0495
Precision: 0.9575
Recall: 0.9665
F1: 0.9619
Accuracy: 0.9889
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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
Precision
Recall
F1
Accuracy
No log
1.0
427
0.0560
0.9339
0.9514
0.9426
0.9828
0.1405
2.0
855
0.0539
0.9430
0.9595
0.9512
0.9859
0.0449
3.0
1281
0.0495
0.9575
0.9665
0.9619
0.9889
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
