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xlm-roberta-large-finetuned-ner – AI Model by shanti10 | AlphaNeural AI

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shanti10/
xlm-roberta-large-finetuned-ner

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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xlm-roberta-large-finetuned-ner

This model is a fine-tuned version of xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 3.1818
eval_precision: 0.0185
eval_recall: 0.0749
eval_f1: 0.0296
eval_accuracy: 0.0005
eval_runtime: 149.7208
eval_samples_per_second: 72.475
eval_steps_per_second: 18.12
step: 0

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 4.35.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0