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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: albert-large-v2_cls_CR
    results: []

albert-large-v2_cls_CR

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

  • Loss: 0.6549
  • Accuracy: 0.6383

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: cosine
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 213 0.3524 0.8803
No log 2.0 426 0.6839 0.6383
0.5671 3.0 639 0.6622 0.6383
0.5671 4.0 852 0.6549 0.6383
0.6652 5.0 1065 0.6549 0.6383

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1