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xlm_roberta_v2 – AI Model by MahdisHosseini | AlphaNeural AI
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MahdisHosseini
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xlm_roberta_v2
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pytorch
xlm-roberta
generated_from_trainer
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xlm_roberta_v2
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: 1.3665
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: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3586
0.3
300
1.2829
1.3966
0.59
600
1.2196
1.3496
0.89
900
1.1492
0.987
1.18
1200
1.2111
0.9018
1.48
1500
1.3665
Framework versions
Transformers 4.17.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
