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metadata
tags:
  - generated_from_trainer
datasets:
  - shc_deva_ds
metrics:
  - f1
model-index:
  - name: assets
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: shc_deva_ds
          type: shc_deva_ds
          args: SHCAdverseEvents
        metrics:
          - name: F1
            type: f1
            value: 0.3333333333333333

assets

This model is a fine-tuned version of iHealthGroup/shc-lm-v1 on the shc_deva_ds dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7051
  • F1: 0.3333

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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss F1
1.1628 0.62 400 0.7051 0.3333

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.13.0+cpu
  • Datasets 2.4.0
  • Tokenizers 0.11.6