M6_MLM_cross / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - spearmanr
base_model: S2312dal/M6_MLM
model-index:
  - name: M6_MLM_cross
    results: []

M6_MLM_cross

This model is a fine-tuned version of S2312dal/M6_MLM on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0197
  • Pearson: 0.9680
  • Spearmanr: 0.9098

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: 16
  • eval_batch_size: 16
  • seed: 25
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 8.0
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Pearson Spearmanr
0.0723 1.0 131 0.0646 0.8674 0.8449
0.0433 2.0 262 0.0322 0.9475 0.9020
0.0015 3.0 393 0.0197 0.9680 0.9098

Framework versions

  • Transformers 4.20.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1