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model – AI Model by alielneklawy | AlphaNeural AI
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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: 2.0268
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.5334
1.0
300
2.1505
2.1251
2.0
600
2.1301
2.2121
3.0
900
2.0866
1.979
4.0
1200
1.9929
2.0846
5.0
1500
2.0268
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
