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xlm-roberta-ukr-ft-span-detection – AI Model by dariast | AlphaNeural AI
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dariast
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xlm-roberta-ukr-ft-span-detection
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
ukr-models/xlm-roberta-base-uk
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta_large_wechsel_ukr_lr3e-05_bs4_ep3
This model is a fine-tuned version of
ukr-models/xlm-roberta-base-uk
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4298
Precision: 0.6330
Recall: 0.5153
F1: 0.5681
Accuracy: 0.8278
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.4254
1.0
483
0.4295
0.5261
0.7361
0.6136
0.7962
0.3388
2.0
966
0.3832
0.6187
0.5201
0.5651
0.8241
0.2682
3.0
1449
0.4298
0.6330
0.5153
0.5681
0.8278
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.20.1
