ajax12_finetuned
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8420
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7455 | 1.43 | 1000 | 1.7800 |
| 1.4506 | 2.86 | 2000 | 1.7218 |
| 1.2631 | 4.29 | 3000 | 1.7590 |
| 1.1055 | 5.71 | 4000 | 1.7759 |
| 1.0248 | 7.14 | 5000 | 1.8152 |
| 0.9481 | 8.57 | 6000 | 1.8341 |
| 0.9027 | 10.0 | 7000 | 1.8420 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
microsoft/biogpt