End of training

README.md

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+---
+library_name: transformers
+base_model: mrcuddle/NemoMix-Magcap-12B
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- mrcuddle/adonis_nsfw_alpaca
+model-index:
+- name: Magcap-Adonis-12B
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.12.0.dev0`
+```yaml
+base_model: mrcuddle/NemoMix-Magcap-12B
+tokenizer_type: AutoTokenizer
+hub_model_id: mrcuddle/Magcap-Adonis-12B
+strict: false
+
+datasets:
+  - path: mrcuddle/adonis_nsfw_alpaca
+    type: alpaca
+    streaming: false
+
+output_dir: ./mistral-12b-adonis
+
+
+sequence_len: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+
+eval_sample_packing: False
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+num_epochs: 4
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.00005
+
+train_on_inputs: false
+group_by_length: false
+
+bf16: auto
+fp16:
+past_model_outputs: false
+
+gradient_checkpointing: true
+save_steps: 500
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  pad_token: "</s>"
+```
+
+</details><br>
+
+# Magcap-Adonis-12B
+
+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.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- training_steps: 32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.53.2
+- Pytorch 2.7.1+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.53.2",
+  "use_cache": false
+}