deeptij2007/distilbert_bc2gm_corpus

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myawesomewnut_model

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0855
• —Precision: 0.6957
• —Recall: 0.7594
• —F1: 0.7261
• —Accuracy: 0.9687

Model description

NER model trained on spyysalo/bc2gm_corpus

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.55.4
• —Pytorch 2.8.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.21.4