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lora-bert-sst2 – AI Model by Yohhei | AlphaNeural AI
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Yohhei
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lora-bert-sst2
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peft
safetensors
generated_from_trainer
google-bert/bert-base-uncased
adapter
apache-2.0
us
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lora-bert-sst2
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2517
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: 0.0001
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.3469
1.0
527
0.2568
0.2536
2.0
1054
0.2517
Framework versions
PEFT 0.13.1
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
