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--- |
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library_name: transformers |
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base_model: mrcuddle/NemoMix-Magcap-12B |
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tags: |
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- axolotl |
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- generated_from_trainer |
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datasets: |
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- mrcuddle/adonis_nsfw_alpaca |
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model-index: |
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- name: Magcap-Adonis-12B |
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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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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.12.0.dev0` |
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```yaml |
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base_model: mrcuddle/NemoMix-Magcap-12B |
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tokenizer_type: AutoTokenizer |
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hub_model_id: mrcuddle/Magcap-Adonis-12B |
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strict: false |
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datasets: |
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- path: mrcuddle/adonis_nsfw_alpaca |
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type: alpaca |
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streaming: false |
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output_dir: ./mistral-12b-adonis |
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sequence_len: 2048 |
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sample_packing: true |
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pad_to_sequence_len: true |
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eval_sample_packing: False |
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gradient_accumulation_steps: 2 |
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micro_batch_size: 2 |
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num_epochs: 4 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00005 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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past_model_outputs: false |
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gradient_checkpointing: true |
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save_steps: 500 |
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special_tokens: |
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bos_token: "<s>" |
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eos_token: "</s>" |
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pad_token: "</s>" |
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``` |
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</details><br> |
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# Magcap-Adonis-12B |
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This model is a fine-tuned version of [mrcuddle/NemoMix-Magcap-12B](https://huggingface.co/mrcuddle/NemoMix-Magcap-12B) on the mrcuddle/adonis_nsfw_alpaca dataset. |
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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: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- training_steps: 32 |
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### Training results |
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### Framework versions |
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- Transformers 4.53.2 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.2 |
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