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Magpie-Align
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Llama-3.1-8B-Magpie-Align-SFT-v0.1

Text Generation
Transformers
PyTorch
Safetensors
English
llama
axolotl
Generated from Trainer
conversational
text-generation-inference
Model card Files Community
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Zhangchen Xu commited on
Commit
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End of training

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Files changed (7) hide show
  1. README.md +147 -0
  2. generation_config.json +9 -0
  3. pytorch_model-00001-of-00004.bin +3 -0
  4. pytorch_model-00002-of-00004.bin +3 -0
  5. pytorch_model-00003-of-00004.bin +3 -0
  6. pytorch_model-00004-of-00004.bin +3 -0
  7. pytorch_model.bin.index.json +298 -0
README.md ADDED
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+ ---
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+ tags:
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+ - axolotl
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+ - generated_from_trainer
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+ model-index:
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+ - name: Llama-3.1-8B-Magpie-Mix-300KMT-150KR
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+ results: []
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+ ---
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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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+
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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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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+
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+ base_model: /data/zhangchen_xu/model/Meta-Llama-3.1-8B
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+ model_type: LlamaForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ datasets:
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+ - path: Magpie-Align/Magpie-Reasoning-150K
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+ type: sharegpt
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+ conversation: llama3
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+ - path: Magpie-Align/Magpie-Pro-MT-300K-v0.1
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+ type: sharegpt
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+ conversation: llama3
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+ dataset_prepared_path: last_run_prepared
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+ val_set_size: 0.001
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+ output_dir: /data/zhangchen_xu/axolotl_out/Llama-3.1-8B-Mix-SFT
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+
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+ sequence_len: 8192
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+ sample_packing: true
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+ eval_sample_packing: false
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+ pad_to_sequence_len: true
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+
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+ wandb_project: SynDa
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name: Llama-3.1-8B-Mix-SFT
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+ wandb_log_model:
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+ hub_model_id: Magpie-Align/Llama-3.1-8B-Magpie-Mix-300KMT-150KR
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+
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+ gradient_accumulation_steps: 16
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+ micro_batch_size: 1
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+ num_epochs: 2
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+ optimizer: paged_adamw_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 2e-5
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+
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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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+ tf32: false
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+
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+ gradient_checkpointing: true
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+ gradient_checkpointing_kwargs:
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+ use_reentrant: false
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention: true
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+
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+ warmup_ratio: 0.1
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+ evals_per_epoch: 5
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+ eval_table_size:
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+ saves_per_epoch: 1
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+ debug:
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+ deepspeed:
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+ weight_decay: 0.0
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ pad_token: <|end_of_text|>
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+
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+ ```
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+
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+ </details><br>
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+
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uw-nsl/SynDa/runs/kb9nqo04)
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+ # Llama-3.1-8B-Magpie-Mix-300KMT-150KR
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+
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+ This model was trained from scratch on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3924
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 79
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.7863 | 0.0024 | 1 | 0.7710 |
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+ | 0.5422 | 0.2007 | 85 | 0.4937 |
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+ | 0.476 | 0.4014 | 170 | 0.4382 |
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+ | 0.4594 | 0.6021 | 255 | 0.4174 |
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+ | 0.4383 | 0.8028 | 340 | 0.4057 |
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+ | 0.4397 | 1.0035 | 425 | 0.3978 |
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+ | 0.3927 | 1.1845 | 510 | 0.3956 |
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+ | 0.3895 | 1.3852 | 595 | 0.3934 |
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+ | 0.3832 | 1.5859 | 680 | 0.3925 |
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+ | 0.3957 | 1.7866 | 765 | 0.3924 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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