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xlm-roberta-large-finetuned-ner – AI Model by SaiNikhileshReddy | AlphaNeural AI
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SaiNikhileshReddy
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xlm-roberta-large-finetuned-ner
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
hi_ner_config
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-finetuned-ner
This model is a fine-tuned version of
xlm-roberta-large
on the hi_ner_config dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2329
eval_precision: 0.7110
eval_recall: 0.6854
eval_f1: 0.6980
eval_accuracy: 0.9332
eval_runtime: 162.3478
eval_samples_per_second: 66.9
eval_steps_per_second: 16.73
epoch: 2.64
step: 50198
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
