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my_xlm-roberta-large-finetuned-conll03 – AI Model by BahAdoR0101 | AlphaNeural AI
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my_xlm-roberta-large-finetuned-conll03
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
conll2003
FacebookAI/xlm-roberta-large
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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my_xlm-roberta-large-finetuned-conll03
This model is a fine-tuned version of
xlm-roberta-large
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.1185
Precision: 0.9244
Recall: 0.9375
F1: 0.9309
Accuracy: 0.9856
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
0.1533
1.0
878
0.1178
0.8950
0.9053
0.9001
0.9805
0.0303
2.0
1756
0.1157
0.9157
0.9331
0.9243
0.9843
0.0164
3.0
2634
0.1185
0.9244
0.9375
0.9309
0.9856
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
