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bert-base-uncased-BiLSTM-Optiparam-ADVQA36K-V18-frozen – AI Model by allistair99 | AlphaNeural AI
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bert-base-uncased-BiLSTM-Optiparam-ADVQA36K-V18-frozen
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safetensors
bert
generated_from_trainer
allistair99/bert-base-uncased-ADVQA36K-V1
finetune
mit
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bert-base-uncased-BiLSTM-Optiparam-ADVQA36K-V18-frozen
This model is a fine-tuned version of
allistair99/bert-base-uncased-ADVQA36K-V1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.9817
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: 3e-05
train_batch_size: 6
eval_batch_size: 60
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.3148
1.0
1670
3.8083
0.2798
2.0
3340
3.8124
0.7821
3.0
5010
3.9817
Framework versions
Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1
