metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: distilbert-base-uncased
model-index:
  - name: distilbert-base-uncased-lora-text-classification
    results: []

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:

eval_loss: 0.7425
eval_accuracy: {'accuracy': 0.888}
eval_runtime: 219.3112
eval_samples_per_second: 4.56
eval_steps_per_second: 1.14
epoch: 5.0
step: 1250

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cpu
Datasets 2.19.1
Tokenizers 0.19.1