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Model: Magpie-Align/MagpieLM-8B-SFT-v0.1 Source: Original Platform
2026-05-25 16:24:15 +08:00
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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: MagpieLM-8B-SFT-v0.1
+  results: []
+datasets:
+- Magpie-Align/MagpieLM-SFT-Data-v0.1
+---
+
+![Magpie](https://cdn-uploads.huggingface.co/production/uploads/653df1323479e9ebbe3eb6cc/FWWILXrAGNwWr52aghV0S.png)
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://api.wandb.ai/links/uw-nsl/3m10ah3v)
+
+# 🐦 MagpieLM-8B-SFT-v0.1
+
+Project Web: [https://magpie-align.github.io/](https://magpie-align.github.io/)
+
+Arxiv Technical Report: [https://arxiv.org/abs/2406.08464](https://arxiv.org/abs/2406.08464)
+
+Codes: [https://github.com/magpie-align/magpie](https://github.com/magpie-align/magpie)
+
+## About This Model
+
+*Model full name: Llama3.1-MagpieLM-8B-SFT-v0.1*
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on [Magpie-Align/MagpieLM-SFT-Data-v0.1](https://huggingface.co/datasets/Magpie-Align/MagpieLM-SFT-Data-v0.1) dataset.
+
+This is the intermediate checkpoint for fine-tuning [Magpie-Align/MagpieLM-8B-Chat-v0.1](https://huggingface.co/Magpie-Align/MagpieLM-8B-Chat-v0.1).
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 51
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9311        | 0.0038 | 1    | 0.9847          |
+| 0.561         | 0.2015 | 53   | 0.5765          |
+| 0.4843        | 0.4030 | 106  | 0.5039          |
+| 0.4608        | 0.6045 | 159  | 0.4814          |
+| 0.4454        | 0.8060 | 212  | 0.4678          |
+| 0.4403        | 1.0075 | 265  | 0.4596          |
+| 0.3965        | 1.1938 | 318  | 0.4574          |
+| 0.3952        | 1.3953 | 371  | 0.4554          |
+| 0.3962        | 1.5968 | 424  | 0.4547          |
+| 0.3948        | 1.7983 | 477  | 0.4544          |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1
+
+[<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: `0.4.1`
+```yaml
+base_model: meta-llama/Meta-Llama-3.1-8B
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+chat_template: llama3
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+main_process_port: 0
+
+datasets:
+  - path: Magpie-Align/MagpieLM-SFT-Data-v0.1
+    type: sharegpt
+    conversation: llama3
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.001
+output_dir: axolotl_out/MagpieLM-8B-SFT-v0.1
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: SynDa
+wandb_entity:
+wandb_watch:
+wandb_name: MagpieLM-8B-SFT-v0.1
+wandb_log_model:
+hub_model_id: Magpie-Align/MagpieLM-8B-SFT-v0.1
+
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 5
+eval_table_size:
+saves_per_epoch: 
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|end_of_text|>
+
+```
+</details><br>