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saransh_biogpt_custom
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2376
- Precision: 0.3702
- Recall: 0.2097
- F1: 0.2677
- Accuracy: 0.9300
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 | 418 | 0.2439 | 0.3401 | 0.1315 | 0.1896 | 0.9284 |
0.2906 | 2.0 | 836 | 0.2326 | 0.3448 | 0.1956 | 0.2496 | 0.9293 |
0.2348 | 3.0 | 1254 | 0.2376 | 0.3702 | 0.2097 | 0.2677 | 0.9300 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3