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DrBERT-7GB-finetuned-loinc

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metadata
library_name: transformers
license: apache-2.0
base_model: Dr-BERT/DrBERT-7GB
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: DrBERT-7GB-finetuned-loinc
    results: []

DrBERT-7GB-finetuned-loinc

This model is a fine-tuned version of Dr-BERT/DrBERT-7GB on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6762
  • Accuracy: 0.8519
  • F1: 0.8516

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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 1268 0.6636 0.8410 0.8379
No log 2.0 2536 0.6715 0.8401 0.8414
No log 3.0 3804 0.6953 0.8538 0.8490
No log 4.0 5072 0.6719 0.8522 0.8524
No log 5.0 6340 0.6762 0.8519 0.8516

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.3.1+cxx11.abi
  • Datasets 3.0.1
  • Tokenizers 0.20.0