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custom_bert – AI Model by ayat29 | AlphaNeural AI
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ayat29
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custom_bert
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tensorboard
safetensors
bert
generated_from_trainer
eli5_category
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custom_bert
This model is a fine-tuned version of
on the eli5_category dataset. It achieves the following results on the evaluation set:
Loss: 6.7038
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: 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
7.2917
1.0
1326
6.9082
6.8038
2.0
2652
6.8164
6.7413
3.0
3978
6.7508
6.6956
4.0
5304
6.7371
6.6856
5.0
6630
6.7080
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
