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xlm-roberta-base-finetuned-panx-kk – AI Model by sultokTheF | AlphaNeural AI
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sultokTheF
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xlm-roberta-base-finetuned-panx-kk
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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-base-finetuned-panx-kk
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1929
F1: 0.8089
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.7458
1.0
42
0.3425
0.7096
0.2787
2.0
84
0.2201
0.7624
0.1573
3.0
126
0.1929
0.8089
Framework versions
Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.13.3