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selfhealing-distilbert-lora – AI Model by Ankiiiiitttt | AlphaNeural AI
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Ankiiiiitttt
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selfhealing-distilbert-lora
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peft
tensorboard
safetensors
adapter
lora
transformers
distilbert/distilbert-base-uncased
adapter
apache-2.0
us
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selfhealing-distilbert-lora
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3622
Accuracy: 0.8968
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: 0.0002
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2401
1.0
4210
0.2744
0.9037
0.1892
2.0
8420
0.3204
0.8945
0.165
3.0
12630
0.3622
0.8968
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
