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classification_model_albert

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metadata
library_name: transformers
license: apache-2.0
base_model: albert/albert-base-v1
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: classification_model_albert
    results: []

classification_model_albert

This model is a fine-tuned version of albert/albert-base-v1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2353
  • Accuracy: 0.9224

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use 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
0.2452 1.0 1563 0.2077 0.9186
0.1795 2.0 3126 0.2353 0.9224

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3