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model – AI Model by DANI001 | AlphaNeural AI
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DANI001
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transformers
pytorch
tensorboard
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: 1.8347
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.3665
1.0
232
2.1375
2.1583
2.0
464
1.9678
1.9735
3.0
696
1.8494
1.9592
4.0
928
1.7641
1.783
5.0
1160
1.8347
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
