metadata
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: mlma_nchan19_biogpt_on_adr_test_set
results: []
mlma_nchan19_biogpt_on_adr_test_set
This model is a fine-tuned version of microsoft/biogpt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1452
- Precision: 0.4772
- Recall: 0.5467
- F1: 0.5096
- Accuracy: 0.9523
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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 448 | 0.1998 | 0.4210 | 0.3185 | 0.3626 | 0.9382 |
| 0.289 | 2.0 | 896 | 0.1630 | 0.4394 | 0.5043 | 0.4696 | 0.9474 |
| 0.1587 | 3.0 | 1344 | 0.1452 | 0.4772 | 0.5467 | 0.5096 | 0.9523 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3