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biogpt-checkpoints
xunyushen/biogpt-checkpoints
biogpt-checkpoints is a token classification model from xunyushen. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Apr 12, 2025
- Updated
- Apr 13, 2025
- SHA
- 9d8250b0
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
biogpt-ner-checkpoints
This model was trained from scratch on the ncbi_disease dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2306
- eval_model_preparation_time: 0.0038
- eval_precision: 0.3044
- eval_recall: 0.2541
- eval_f1: 0.2770
- eval_accuracy: 0.9361
- eval_runtime: 9.2578
- eval_samples_per_second: 99.7
- eval_steps_per_second: 12.53
- step: 0
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Token Classification
- Library
- transformers
- Type
- gpt2
- Created
- Apr 12, 2025
- Updated
- Apr 13, 2025