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README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: distilbert/distilgpt2
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model-index:
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- name: DistilGPT2-model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# DistilGPT2-model
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This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2126
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1
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- training_steps: 250
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.7168 | 0.0 | 25 | 2.6101 |
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| 2.652 | 0.0 | 50 | 2.5280 |
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| 2.5867 | 0.0 | 75 | 2.4430 |
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| 2.5081 | 0.0 | 100 | 2.3748 |
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| 2.4728 | 0.0 | 125 | 2.3105 |
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| 2.4563 | 0.0 | 150 | 2.2719 |
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| 2.3669 | 0.01 | 175 | 2.2473 |
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| 2.3839 | 0.01 | 200 | 2.2292 |
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| 2.3617 | 0.01 | 225 | 2.2150 |
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| 2.3729 | 0.01 | 250 | 2.2126 |
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.38.1
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- Pytorch 1.13.1
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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