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