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prompt_fine_tuned_CB_bert – AI Model by lenatr99 | AlphaNeural AI
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lenatr99
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prompt_fine_tuned_CB_bert
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peft
safetensors
generated_from_trainer
google-bert/bert-base-uncased
adapter
apache-2.0
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prompt_fine_tuned_CB_bert
This model is a fine-tuned version of
google-bert/bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1636
Accuracy: 0.3182
F1: 0.1536
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400
Training results
Framework versions
PEFT 0.10.1.dev0
Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1
