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bert-fa-zwnj-base-finetuned-estefta – AI Model by salmanaa | AlphaNeural AI
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bert-fa-zwnj-base-finetuned-estefta
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transformers
safetensors
bert
fill-mask
generated_from_trainer
HooshvareLab/bert-fa-zwnj-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-fa-zwnj-base-finetuned-estefta
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: 2.6881
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.1014
1.0
32
2.8122
2.9022
2.0
64
2.8189
2.8466
3.0
96
2.9307
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cpu
Datasets 3.0.0
Tokenizers 0.19.1
