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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: no_robots-alpaca |
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results: [] |
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license: cc-by-nc-4.0 |
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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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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# no_robots-alpaca |
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This lora was trained from scratch with the [Doctor-Shotgun/no-robots-sharegpt](https://huggingface.co/datasets/Doctor-Shotgun/no-robots-sharegpt) dataset on [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16). |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6087 |
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## Model description |
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The LoRA was trained from the [Doctor-Shotgun/no-robots-sharegpt](https://huggingface.co/datasets/Doctor-Shotgun/no-robots-sharegpt), a ShareGPT converted dataset from the OG [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots) but with Alpaca prompting. |
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## Prompt template: Alpaca |
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``` |
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Below is an instruction that describes a task. Write a response that appropriately completes the request. |
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### Instruction: |
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{prompt} |
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### Response: |
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``` |
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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: 0.00065 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: constant |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5523 | 0.0 | 1 | 1.5476 | |
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| 1.2139 | 0.1 | 42 | 1.5008 | |
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| 1.6348 | 0.2 | 84 | 1.4968 | |
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| 1.6498 | 0.3 | 126 | 1.4962 | |
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| 1.5645 | 0.4 | 168 | 1.4983 | |
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| 1.6487 | 0.5 | 210 | 1.4981 | |
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| 1.6147 | 0.6 | 252 | 1.4965 | |
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| 1.3048 | 0.7 | 294 | 1.4973 | |
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| 1.6205 | 0.8 | 336 | 1.5007 | |
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| 1.6045 | 0.9 | 378 | 1.5003 | |
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| 1.5781 | 1.0 | 420 | 1.5013 | |
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| 1.4807 | 1.09 | 462 | 1.5492 | |
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| 1.0541 | 1.19 | 504 | 1.5596 | |
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| 1.2337 | 1.29 | 546 | 1.5789 | |
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| 0.9719 | 1.39 | 588 | 1.5859 | |
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| 1.2189 | 1.49 | 630 | 1.5959 | |
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| 1.2566 | 1.59 | 672 | 1.5968 | |
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| 0.7049 | 1.69 | 714 | 1.5987 | |
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| 1.2133 | 1.79 | 756 | 1.5907 | |
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| 1.0327 | 1.89 | 798 | 1.6087 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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If you want to support me, you can [here](https://ko-fi.com/undiai). |
