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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: airo-lora-out |
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results: [] |
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datasets: |
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- unalignment/spicy-3.1 |
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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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# LoneStriker/Yi-34B-Spicyboros-3.1-LoRA |
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This model was fine-tuned on Spicyboros-3.1 dataset on top of the Yi-34B-Llama model. |
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## Model description |
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Base model [Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama) |
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## Intended uses & limitations |
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See Yi license |
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## Training and evaluation data |
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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: 0.0001 |
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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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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 4 |
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- total_eval_batch_size: 4 |
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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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- num_epochs: 1 |
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### Training results |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
