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bert-agnews-lora – AI Model by asm3515 | AlphaNeural AI
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asm3515
/
bert-agnews-lora
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peft
tensorboard
safetensors
generated_from_trainer
google-bert/bert-base-uncased
adapter
apache-2.0
us
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results_lora_qkv
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: 0.2202
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: 16
eval_batch_size: 64
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
0.2785
1.0
7500
0.2489
0.232
2.0
15000
0.2331
0.1996
3.0
22500
0.2291
0.2062
4.0
30000
0.2213
0.1915
5.0
37500
0.2202
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1
