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parsbert_final2 – AI Model by MahdisHosseini | AlphaNeural AI
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MahdisHosseini
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parsbert_final2
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transformers
safetensors
bert
question-answering
generated_from_trainer
pedramyazdipoor/parsbert_question_answering_PQuAD
finetune
endpoints_compatible
us
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parsbert_final2
This model is a fine-tuned version of
pedramyazdipoor/parsbert_question_answering_PQuAD
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9585
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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
3.8784
0.3945
400
2.3892
2.5562
0.7890
800
2.0935
2.169
1.1834
1200
2.0202
2.0509
1.5779
1600
1.9735
2.0127
1.9724
2000
1.9585
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
