symptom-check-april-3
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6371
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 1.4394 | 1.0 | 925 | 0.8613 |
| 0.8897 | 2.0 | 1850 | 0.7525 |
| 0.7971 | 3.0 | 2775 | 0.7043 |
| 0.7505 | 4.0 | 3700 | 0.6795 |
| 0.7253 | 5.0 | 4625 | 0.6628 |
| 0.7079 | 6.0 | 5550 | 0.6519 |
| 0.6999 | 7.0 | 6475 | 0.6450 |
| 0.692 | 8.0 | 7400 | 0.6404 |
| 0.6859 | 9.0 | 8325 | 0.6379 |
| 0.6821 | 10.0 | 9250 | 0.6371 |
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 akhileshav8/symptom-check-april-3
Base model
distilbert/distilgpt2