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pft-clf-finetuned – AI Model by Faezeh-gholamrezaie | AlphaNeural AI
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Faezeh-gholamrezaie
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pft-clf-finetuned
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
HooshvareLab/bert-fa-zwnj-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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pft-clf-finetuned
This model is a fine-tuned version of
HooshvareLab/bert-fa-zwnj-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5631
Matthews Correlation: 0.8416
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-06
train_batch_size: 6
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
0.2936
1.0
3997
0.5631
0.8416
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
