| --- |
| base_model: distilbert/distilgpt2 |
| library_name: peft |
| license: apache-2.0 |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: tmp |
| 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. --> |
|
|
| # tmp |
|
|
| This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.2922 |
|
|
| ## 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: 5e-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: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 2.5623 | 1.0 | 2337 | 2.3956 | |
| | 2.4776 | 2.0 | 4674 | 2.3410 | |
| | 2.4591 | 3.0 | 7011 | 2.3128 | |
| | 2.445 | 4.0 | 9348 | 2.2974 | |
| | 2.4492 | 5.0 | 11685 | 2.2922 | |
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|
|
| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
