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metadata
base_model: textattack/albert-base-v2-imdb
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: nosql-identifier-albert
    results: []

nosql-identifier-albert

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

  • Loss: 0.4351
  • Accuracy: 0.9

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 40 0.4383 0.8
No log 2.0 80 0.3771 0.875
No log 3.0 120 0.2954 0.9
No log 4.0 160 0.3746 0.85
No log 5.0 200 0.4419 0.875
No log 6.0 240 0.4913 0.825
No log 7.0 280 0.4602 0.875
No log 8.0 320 0.4185 0.925
No log 9.0 360 0.5439 0.875
No log 10.0 400 0.4071 0.9
No log 11.0 440 0.5948 0.85
No log 12.0 480 0.5412 0.875
0.2697 13.0 520 0.5105 0.9
0.2697 14.0 560 0.4590 0.9
0.2697 15.0 600 0.4351 0.9

Framework versions

  • Transformers 4.31.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.13.1
  • Tokenizers 0.11.0