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xlm-roberta-base-finetuned-IberAuTexTification2024-9010-task2-v1 – AI Model by vg055 | AlphaNeural AI
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xlm-roberta-base-finetuned-IberAuTexTification2024-9010-task2-v1
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transformers
pytorch
tensorboard
xlm-roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-IberAuTexTification2024-9010-task2-v1
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7095
F1: 0.7742
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
0.5724
1.0
3305
0.8187
0.7017
0.3546
2.0
6610
0.7095
0.7742
Framework versions
Transformers 4.28.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.13.3
