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fine_tuning_xlm_roberta – AI Model by MahdisHosseini | AlphaNeural AI
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MahdisHosseini
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fine_tuning_xlm_roberta
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pytorch
xlm-roberta
generated_from_trainer
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fine_tuning_xlm_roberta
This model is a fine-tuned version of
pedramyazdipoor/persian_xlm_roberta_large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3656
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3565
1.0
2031
1.1837
1.0047
2.0
4062
1.3656
Framework versions
Transformers 4.17.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
