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distilbert-base-uncased-lora-text-classification – AI Model by atabassam | AlphaNeural AI
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atabassam
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distilbert-base-uncased-lora-text-classification
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peft
tensorboard
safetensors
generated_from_trainer
distilbert/distilbert-base-uncased
adapter
apache-2.0
us
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distilbert-base-uncased-lora-text-classification
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: 0.4179
Accuracy: {'accuracy': 0.888}
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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
250
0.3416
{'accuracy': 0.889}
0.4
2.0
500
0.4179
{'accuracy': 0.888}
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
