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xlm-roberta-large-finetuned-suk-slovenian – AI Model by lilvoda | AlphaNeural AI
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lilvoda
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xlm-roberta-large-finetuned-suk-slovenian
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transformers
pytorch
tensorboard
xlm-roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-finetuned-suk-slovenian
This model is a fine-tuned version of
xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0267
F1: 0.9407
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: 5e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
gradient_accumulation_steps: 4
num_epochs: 3
Training results
Evaluation Loss
Epoch
F1
0.0337
1.0
0.9195
0.0324
2.0
0.9257
0.0267
3.0
0.9407
Framework versions
Transformers 4.16.2
Pytorch 2.3.1+cpu
Datasets 1.16.1
Tokenizers 0.19.1
