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metadata
license: apache-2.0
base_model: albert/albert-base-v2
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: lenate_model_12_albert-base-v2
    results: []

lenate_model_12_albert-base-v2

This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5494
  • Accuracy: 0.7622

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

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 355 0.6467 0.7212
0.7746 2.0 710 0.5847 0.7241
0.5448 3.0 1065 0.5494 0.7622
0.5448 4.0 1420 0.6416 0.7368
0.3705 5.0 1775 0.6439 0.7735
0.2112 6.0 2130 0.8791 0.7643
0.2112 7.0 2485 1.1350 0.7657
0.1012 8.0 2840 1.3247 0.7721
0.0294 9.0 3195 1.4469 0.7699
0.0112 10.0 3550 1.4783 0.7699

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.15.2