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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2-alpaca-instruction-fine-tuning-lora |
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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-alpaca-instruction-fine-tuning-lora |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6981 |
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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: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.118 | 0.11 | 1000 | 1.7807 | |
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| 1.8878 | 0.22 | 2000 | 1.7477 | |
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| 1.8609 | 0.33 | 3000 | 1.7318 | |
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| 1.8489 | 0.44 | 4000 | 1.7207 | |
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| 1.8416 | 0.55 | 5000 | 1.7134 | |
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| 1.8181 | 0.66 | 6000 | 1.7082 | |
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| 1.8144 | 0.77 | 7000 | 1.7021 | |
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| 1.816 | 0.88 | 8000 | 1.6987 | |
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| 1.7825 | 0.99 | 9000 | 1.6981 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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