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End of training
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metadata
license: apache-2.0
base_model: mnaylor/mega-base-wikitext
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mega-base-wikitext-finetuned-INCIBE
    results: []

mega-base-wikitext-finetuned-INCIBE

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

  • Loss: 1.5169
  • Accuracy: 0.3850

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 196 1.5359 0.3742
No log 2.0 392 1.5257 0.3753
1.5035 3.0 588 1.5320 0.3719
1.5035 4.0 784 1.5231 0.3715
1.5035 5.0 980 1.5203 0.3745
1.4755 6.0 1176 1.5217 0.3742
1.4755 7.0 1372 1.5301 0.3719
1.4531 8.0 1568 1.5131 0.3805
1.4531 9.0 1764 1.5212 0.3783
1.4531 10.0 1960 1.5173 0.3771
1.4426 11.0 2156 1.5190 0.3809
1.4426 12.0 2352 1.5122 0.3794
1.4238 13.0 2548 1.5129 0.3794
1.4238 14.0 2744 1.5176 0.3783
1.4238 15.0 2940 1.5139 0.3783
1.4161 16.0 3136 1.5235 0.3805
1.4161 17.0 3332 1.5125 0.3846
1.4115 18.0 3528 1.5171 0.3827
1.4115 19.0 3724 1.5112 0.3827
1.4115 20.0 3920 1.5123 0.3816
1.4052 21.0 4116 1.5126 0.3827
1.4052 22.0 4312 1.5170 0.3850
1.4004 23.0 4508 1.5135 0.3805
1.4004 24.0 4704 1.5157 0.3809
1.4004 25.0 4900 1.5160 0.3824

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3