| | --- |
| | license: apache-2.0 |
| | base_model: distilgpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: kgpt2 |
| | 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. --> |
| |
|
| | # kgpt2 |
| |
|
| | This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.7114 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.2631 | 1.0 | 8 | 2.1033 | |
| | | 2.1285 | 2.0 | 16 | 1.9838 | |
| | | 2.0715 | 3.0 | 24 | 1.9079 | |
| | | 2.0995 | 4.0 | 32 | 1.8528 | |
| | | 2.0271 | 5.0 | 40 | 1.8074 | |
| | | 1.9592 | 6.0 | 48 | 1.7816 | |
| | | 1.9125 | 7.0 | 56 | 1.7446 | |
| | | 1.9205 | 8.0 | 64 | 1.7277 | |
| | | 1.8993 | 9.0 | 72 | 1.7178 | |
| | | 1.8994 | 10.0 | 80 | 1.7114 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| |
|
