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output – AI Model by YoungBeauty | AlphaNeural AI
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transformers
pytorch
tensorboard
xlm-roberta
token-classification
generated_from_trainer
xtreme
mit
model-index
autotrain_compatible
endpoints_compatible
us
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output
This model is a fine-tuned version of
xlm-roberta-base
on the xtreme dataset. It achieves the following results on the evaluation set:
Loss: 0.1350
F1: 0.8633
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
0.2586
1.0
525
0.1608
0.8206
0.1256
2.0
1050
0.1344
0.8455
0.0802
3.0
1575
0.1350
0.8633
Framework versions
Transformers 4.27.1
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2
