metadata
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: symptom-check
results: []
symptom-check
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4145
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 |
|---|---|---|---|
| No log | 1.0 | 1 | 0.6217 |
| No log | 2.0 | 2 | 0.4846 |
| No log | 3.0 | 3 | 0.4594 |
| No log | 4.0 | 4 | 0.4476 |
| No log | 5.0 | 5 | 0.4384 |
| No log | 6.0 | 6 | 0.4307 |
| No log | 7.0 | 7 | 0.4243 |
| No log | 8.0 | 8 | 0.4194 |
| No log | 9.0 | 9 | 0.4161 |
| No log | 10.0 | 10 | 0.4145 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2