File size: 1,897 Bytes
e1b8a08 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: biolinkbert-base-medqa-usmle-MPNet-context
results: []
---
<!-- 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. -->
# biolinkbert-base-medqa-usmle-MPNet-context
This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-base](https://huggingface.co/michiyasunaga/BioLinkBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4506
- Accuracy: 0.3936
## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 318 | 1.3518 | 0.3354 |
| 1.3648 | 2.0 | 636 | 1.3308 | 0.3684 |
| 1.3648 | 3.0 | 954 | 1.3267 | 0.3943 |
| 1.2711 | 4.0 | 1272 | 1.3455 | 0.3865 |
| 1.1769 | 5.0 | 1590 | 1.3739 | 0.3943 |
| 1.1769 | 6.0 | 1908 | 1.3960 | 0.4069 |
| 1.0815 | 7.0 | 2226 | 1.4320 | 0.3959 |
| 1.0092 | 8.0 | 2544 | 1.4506 | 0.3936 |
### Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
|