biogpt-kdebrah1
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1494
- Precision: 0.4294
- Recall: 0.5444
- F1: 0.4801
- Accuracy: 0.9565
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 |
---|---|---|---|---|---|---|---|
0.3064 | 1.0 | 680 | 0.1769 | 0.3086 | 0.4442 | 0.3642 | 0.9451 |
0.1639 | 2.0 | 1360 | 0.1477 | 0.3877 | 0.4734 | 0.4263 | 0.9534 |
0.0956 | 3.0 | 2040 | 0.1494 | 0.4294 | 0.5444 | 0.4801 | 0.9565 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for akoraingdkb/biogpt-kdebrah1
Base model
microsoft/biogpt