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fresh-2-layer-qasc5000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: fresh-2-layer-qasc5000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
    results: []

fresh-2-layer-qasc5000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

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

  • Loss: 14.9541
  • Accuracy: 0.4949

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: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 321
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.64 100 14.0782 0.3131
No log 1.27 200 15.6534 0.4596
No log 1.91 300 16.2410 0.4293
No log 2.55 400 14.4394 0.4495
1.861 3.18 500 15.1088 0.4646
1.861 3.82 600 14.4621 0.4848
1.861 4.46 700 15.0037 0.4596
1.861 5.1 800 15.6656 0.4293
1.861 5.73 900 15.1955 0.4343
0.2711 6.37 1000 14.9541 0.4949
0.2711 7.01 1100 14.5891 0.4646
0.2711 7.64 1200 15.4136 0.4747
0.2711 8.28 1300 15.4486 0.4697
0.2711 8.92 1400 14.5015 0.4848
0.1568 9.55 1500 14.2260 0.4545

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.14.0