README.md

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