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my_ner_model – AI Model by eludan | AlphaNeural AI
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my_ner_model
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
masakhaner
FacebookAI/xlm-roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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my_ner_model
This model is a fine-tuned version of
xlm-roberta-base
on the masakhaner dataset. It achieves the following results on the evaluation set:
Loss: 0.3167
Precision: 0.2913
Recall: 0.4301
F1: 0.3473
Accuracy: 0.8994
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
110
0.4358
0.1421
0.2832
0.1892
0.8600
No log
2.0
220
0.3167
0.2913
0.4301
0.3473
0.8994
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
