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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-medical
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-medical
This model is a fine-tuned version of [vega6000/distilgpt2-finetuned-medical](https://huggingface.co/vega6000/distilgpt2-finetuned-medical) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6248
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 15 | 2.0817 |
| No log | 2.0 | 30 | 1.9431 |
| No log | 3.0 | 45 | 1.8487 |
| No log | 4.0 | 60 | 1.7761 |
| No log | 5.0 | 75 | 1.7253 |
| No log | 6.0 | 90 | 1.6875 |
| No log | 7.0 | 105 | 1.6574 |
| No log | 8.0 | 120 | 1.6385 |
| No log | 9.0 | 135 | 1.6288 |
| No log | 10.0 | 150 | 1.6248 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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