distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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: 10
Training results
Framework versions
- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.7.1
- Datasets 4.0.0
- Tokenizers 0.21.2
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Model tree for manoj-ayyanavara/distilbert-base-uncased-lora-text-classification
Base model
distilbert/distilbert-base-uncased