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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - spearmanr
base_model: muhtasham/olm-bert-tiny-december-2022
model-index:
  - name: olm-bert-tiny-december-2022-target-glue-stsb
    results: []

olm-bert-tiny-december-2022-target-glue-stsb

This model is a fine-tuned version of muhtasham/olm-bert-tiny-december-2022 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4058
  • Pearson: 0.3207
  • Spearmanr: 0.3227

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: 3e-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: constant
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Pearson Spearmanr
3.7225 2.78 500 2.3571 0.0394 0.0504
1.9638 5.56 1000 2.3486 0.1721 0.1893
1.7812 8.33 1500 2.3649 0.2248 0.2401
1.5724 11.11 2000 2.3334 0.2645 0.2767
1.3776 13.89 2500 2.4034 0.2785 0.2861
1.2174 16.67 3000 2.3773 0.2963 0.3043
1.0875 19.44 3500 2.3327 0.3213 0.3205
0.9406 22.22 4000 2.3715 0.3216 0.3222
0.8757 25.0 4500 2.3264 0.3274 0.3281
0.7946 27.78 5000 2.4058 0.3207 0.3227

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.1.dev0
  • Tokenizers 0.13.2