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xmod-shared-roberta-base-legal-multi-downstream-eurlex – AI Model by MHGanainy | AlphaNeural AI
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MHGanainy
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xmod-shared-roberta-base-legal-multi-downstream-eurlex
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transformers
safetensors
xmod
text-classification
generated_from_trainer
MHGanainy/xmod-shared-roberta-base-legal-multi
finetune
autotrain_compatible
endpoints_compatible
us
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xmod-shared-roberta-base-legal-multi-downstream-eurlex
This model is a fine-tuned version of
MHGanainy/xmod-shared-roberta-base-legal-multi
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0737
Macro-f1: 0.3632
Micro-f1: 0.7187
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: 16
eval_batch_size: 16
seed: 1
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Macro-f1
Micro-f1
0.074
1.0
3438
0.0799
0.3096
0.6948
0.0606
2.0
6876
0.0737
0.3632
0.7187
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
