| | --- |
| | license: apache-2.0 |
| | base_model: distilgpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: saaz |
| | 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. --> |
| |
|
| | # saaz |
| |
|
| | This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2110 |
| |
|
| | ## 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: 0.0002 |
| | - 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: 20 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 1 | 0.9750 | |
| | | No log | 2.0 | 2 | 0.6813 | |
| | | No log | 3.0 | 3 | 0.4624 | |
| | | No log | 4.0 | 4 | 0.3387 | |
| | | No log | 5.0 | 5 | 0.2877 | |
| | | No log | 6.0 | 6 | 0.2399 | |
| | | No log | 7.0 | 7 | 0.2235 | |
| | | No log | 8.0 | 8 | 0.2259 | |
| | | No log | 9.0 | 9 | 0.2267 | |
| | | No log | 10.0 | 10 | 0.2259 | |
| | | No log | 11.0 | 11 | 0.2259 | |
| | | No log | 12.0 | 12 | 0.2173 | |
| | | No log | 13.0 | 13 | 0.2126 | |
| | | No log | 14.0 | 14 | 0.2077 | |
| | | No log | 15.0 | 15 | 0.2066 | |
| | | No log | 16.0 | 16 | 0.2067 | |
| | | No log | 17.0 | 17 | 0.2089 | |
| | | No log | 18.0 | 18 | 0.2103 | |
| | | No log | 19.0 | 19 | 0.2108 | |
| | | No log | 20.0 | 20 | 0.2110 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
