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--- |
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license: mit |
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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: openai-community/gpt2 |
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model-index: |
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- name: GPT2_Pirate_2024_05_10_20_25_24_lora_weightTrue_loraR32_optim_adamw_torch_epoch2_lr3e-05 |
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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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# GPT2_Pirate_2024_05_10_20_25_24_lora_weightTrue_loraR32_optim_adamw_torch_epoch2_lr3e-05 |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7723 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 2.3874 | 0.0673 | 1000 | 1.9785 | |
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| 1.7367 | 0.1346 | 2000 | 1.8709 | |
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| 1.6208 | 0.2020 | 3000 | 1.8520 | |
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| 1.5521 | 0.2693 | 4000 | 1.8361 | |
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| 1.5165 | 0.3366 | 5000 | 1.8298 | |
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| 1.484 | 0.4039 | 6000 | 1.8227 | |
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| 1.4262 | 0.4712 | 7000 | 1.8078 | |
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| 1.4701 | 0.5385 | 8000 | 1.8000 | |
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| 1.4188 | 0.6059 | 9000 | 1.7938 | |
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| 1.403 | 0.6732 | 10000 | 1.7908 | |
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| 1.4115 | 0.7405 | 11000 | 1.7940 | |
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| 1.4153 | 0.8078 | 12000 | 1.7888 | |
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| 1.3903 | 0.8751 | 13000 | 1.7844 | |
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| 1.3918 | 0.9424 | 14000 | 1.7830 | |
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| 1.4018 | 1.0098 | 15000 | 1.7843 | |
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| 1.3579 | 1.0771 | 16000 | 1.7777 | |
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| 1.3803 | 1.1444 | 17000 | 1.7776 | |
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| 1.3545 | 1.2117 | 18000 | 1.7778 | |
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| 1.3557 | 1.2790 | 19000 | 1.7742 | |
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| 1.3739 | 1.3463 | 20000 | 1.7769 | |
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| 1.3538 | 1.4137 | 21000 | 1.7778 | |
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| 1.3761 | 1.4810 | 22000 | 1.7763 | |
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| 1.347 | 1.5483 | 23000 | 1.7735 | |
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| 1.3579 | 1.6156 | 24000 | 1.7729 | |
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| 1.3581 | 1.6829 | 25000 | 1.7734 | |
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| 1.3472 | 1.7503 | 26000 | 1.7726 | |
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| 1.3377 | 1.8176 | 27000 | 1.7752 | |
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| 1.3243 | 1.8849 | 28000 | 1.7732 | |
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| 1.369 | 1.9522 | 29000 | 1.7723 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
