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metadata
tags:
  - generated_from_trainer
model-index:
  - name: ChemBERTa-77M-MLM-finetuned-4M_4
    results: []

ChemBERTa-77M-MLM-finetuned-4M_4

This model is a fine-tuned version of HassanCS/ChemBERTa-77M-MLM-finetuned-4M_3 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3037

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: 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: 3.0

Training results

Training Loss Epoch Step Validation Loss
0.2888 1.0 61007 0.3139
0.275 2.0 122014 0.3089
0.2681 3.0 183021 0.3037

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3