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xlm-roberta-base-finetuned-panx-pt – AI Model by CinthiaS | AlphaNeural AI
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CinthiaS
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xlm-roberta-base-finetuned-panx-pt
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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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xlm-roberta-base-finetuned-panx-pt
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: 0.2774
F1: 0.8501
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6851
1.0
209
0.3271
0.8061
0.2738
2.0
418
0.2774
0.8501
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
