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model – AI Model by Rehab-Hamdy | AlphaNeural AI
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Rehab-Hamdy
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transformers
safetensors
bert
fill-mask
generated_from_trainer
Twitter/twhin-bert-large
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
Twitter/twhin-bert-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9969
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: 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
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.0958
1.0
200
2.0925
2.0791
2.0
400
1.9969
Framework versions
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
