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soha-roberta-fa-zwnj-base – AI Model by M-Mahdi-Setak | AlphaNeural AI
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M-Mahdi-Setak
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soha-roberta-fa-zwnj-base
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transformers
tensorboard
safetensors
roberta
text-generation
generated_from_trainer
HooshvareLab/roberta-fa-zwnj-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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soha-roberta-fa-zwnj-base
This model is a fine-tuned version of
HooshvareLab/roberta-fa-zwnj-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1682
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
59
1.6070
No log
2.0
118
0.4525
No log
3.0
177
0.2432
No log
4.0
236
0.1827
No log
5.0
295
0.1682
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
