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XLMR-ENIS-finetuned-ner – AI Model by vesteinn | AlphaNeural AI
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XLMR-ENIS-finetuned-ner
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transformers
pytorch
tensorboard
safetensors
xlm-roberta
token-classification
generated_from_trainer
en
is
multilingual
conll2003
vesteinn/XLMR-ENIS
finetune
agpl-3.0
model-index
autotrain_compatible
endpoints_compatible
us
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XLMR-ENIS-finetuned-ner
This model is a fine-tuned version of
vesteinn/XLMR-ENIS
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0671
Precision: 0.9398
Recall: 0.9518
F1: 0.9458
Accuracy: 0.9854
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: 2e-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
Precision
Recall
F1
Accuracy
0.2825
1.0
878
0.0712
0.9220
0.9379
0.9299
0.9815
0.0688
2.0
1756
0.0689
0.9354
0.9477
0.9415
0.9839
0.039
3.0
2634
0.0671
0.9398
0.9518
0.9458
0.9854
Framework versions
Transformers 4.10.3
Pytorch 1.9.0+cu102
Datasets 1.12.1
Tokenizers 0.10.3
