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metadata
library_name: transformers
license: apache-2.0
base_model: albert/albert-base-v2
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: albert-rating-regression-rob-dset
    results: []

albert-rating-regression-rob-dset

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: 1.1105
  • Accuracy: 0.5692
  • Mse: 0.6352

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 Mse
No log 1.0 425 1.0055 0.5593 0.7025
1.153 2.0 850 1.0727 0.5318 0.7066
0.9044 3.0 1275 1.0269 0.5689 0.7080
0.6813 4.0 1700 1.1105 0.5692 0.6352

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.19.1