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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 |
