symptom-check-april-8
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1690
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 |
|---|---|---|---|
| 2.6017 | 1.0 | 1585 | 2.4486 |
| 2.4508 | 2.0 | 3170 | 2.3348 |
| 2.3795 | 3.0 | 4755 | 2.2760 |
| 2.3217 | 4.0 | 6340 | 2.2409 |
| 2.2964 | 5.0 | 7925 | 2.2146 |
| 2.2628 | 6.0 | 9510 | 2.1968 |
| 2.247 | 7.0 | 11095 | 2.1850 |
| 2.2319 | 8.0 | 12680 | 2.1756 |
| 2.2233 | 9.0 | 14265 | 2.1708 |
| 2.2061 | 10.0 | 15850 | 2.1690 |
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-8
Base model
distilbert/distilgpt2