BIO_GPT_NER_FINETUNED_NEW_2
This model is a fine-tuned version of microsoft/biogpt on the ncbi_disease dataset. It achieves the following results on the evaluation set:
- Loss: 0.2186
- Precision: 0.1011
- Recall: 0.1028
- F1: 0.1020
- Accuracy: 0.9362
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3345 | 1.0 | 680 | 0.2445 | 0.0119 | 0.0063 | 0.0083 | 0.9302 |
| 0.2491 | 2.0 | 1360 | 0.2199 | 0.0813 | 0.0888 | 0.0849 | 0.9320 |
| 0.1823 | 3.0 | 2040 | 0.2186 | 0.1011 | 0.1028 | 0.1020 | 0.9362 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Downloads last month
- 17
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train annafavaro/BIO_GPT_NER_FINETUNED_NEW_2
Evaluation results
- Precision on ncbi_diseasevalidation set self-reported0.101
- Recall on ncbi_diseasevalidation set self-reported0.103
- F1 on ncbi_diseasevalidation set self-reported0.102
- Accuracy on ncbi_diseasevalidation set self-reported0.936