fresh-2-layer-copa / README.md
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fresh-2-layer-copa
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: fresh-2-layer-copa
    results: []

fresh-2-layer-copa

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

  • Loss: 1.3801
  • Accuracy: 0.2980

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: 16
  • eval_batch_size: 16
  • seed: 321
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 63 1.3862 0.2071
No log 2.0 126 1.3862 0.2071
No log 3.0 189 1.3862 0.2525
No log 4.0 252 1.3862 0.2374
No log 5.0 315 1.3859 0.2626
No log 6.0 378 1.3863 0.2071
No log 7.0 441 1.3865 0.2778
0.6953 8.0 504 1.3861 0.2778
0.6953 9.0 567 1.3857 0.2071
0.6953 10.0 630 1.3859 0.2525
0.6953 11.0 693 1.3863 0.2475
0.6953 12.0 756 1.3863 0.2778
0.6953 13.0 819 1.3863 0.2576
0.6953 14.0 882 1.3834 0.2778
0.6953 15.0 945 1.3865 0.2576
0.6897 16.0 1008 1.3856 0.2677
0.6897 17.0 1071 1.3912 0.2273
0.6897 18.0 1134 1.3801 0.2980
0.6897 19.0 1197 1.3878 0.2020
0.6897 20.0 1260 1.3961 0.2525

Framework versions

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