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fresh-2-layer-piqa10000-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-piqa10000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
    results: []

fresh-2-layer-piqa10000-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: 12.9939
  • Accuracy: 0.5101

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 0.32 100 19.1271 0.2879
No log 0.64 200 13.9385 0.3687
No log 0.96 300 13.3742 0.4040
No log 1.28 400 13.6512 0.4293
2.752 1.6 500 13.0455 0.3838
2.752 1.92 600 15.1798 0.4293
2.752 2.24 700 13.8055 0.4545
2.752 2.56 800 13.9917 0.4394
2.752 2.88 900 13.5923 0.4899
0.9799 3.19 1000 13.3283 0.4545
0.9799 3.51 1100 12.5037 0.4798
0.9799 3.83 1200 13.9429 0.4545
0.9799 4.15 1300 12.9939 0.5101
0.9799 4.47 1400 13.7332 0.4899
0.5295 4.79 1500 13.9869 0.4596
0.5295 5.11 1600 12.5349 0.4747
0.5295 5.43 1700 12.5107 0.5
0.5295 5.75 1800 13.0188 0.5

Framework versions

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