MeMo-BERT-WSD_old / README.md
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metadata
base_model: MiMe-MeMo/MeMo-BERT-01
tags:
  - generated_from_trainer
model-index:
  - name: new_memo_model
    results: []

new_memo_model

This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-01 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7214
  • F1-score: 0.6667

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: 5e-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: 20

Training results

Training Loss Epoch Step Validation Loss F1-score
No log 1.0 11 0.7214 0.6667
No log 2.0 22 1.2543 0.5429
No log 3.0 33 1.0829 0.6837
No log 4.0 44 1.3815 0.7552
No log 5.0 55 1.4733 0.7005
No log 6.0 66 2.3876 0.5513
No log 7.0 77 1.3215 0.8004
No log 8.0 88 1.4006 0.7608
No log 9.0 99 1.4862 0.7608
No log 10.0 110 1.4974 0.7608
No log 11.0 121 1.4966 0.7608
No log 12.0 132 1.5040 0.7608
No log 13.0 143 1.5010 0.7608
No log 14.0 154 1.4741 0.7608
No log 15.0 165 1.4507 0.7608
No log 16.0 176 1.4420 0.7608
No log 17.0 187 1.4398 0.7608
No log 18.0 198 1.4426 0.7608
No log 19.0 209 1.4438 0.7608
No log 20.0 220 1.4439 0.7608

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1