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--- |
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library_name: transformers |
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license: llama3.1 |
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base_model: meta-llama/Meta-Llama-3.1-8B |
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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-SFT-GMix-550K |
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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: `0.4.1` |
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```yaml |
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base_model: meta-llama/Meta-Llama-3.1-8B |
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model_type: LlamaForCausalLM |
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tokenizer_type: AutoTokenizer |
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chat_template: llama3 |
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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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main_process_port: 0 |
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datasets: |
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- path: flydust/Magpie-Llama-3-70B-300K-Gemma2-9B |
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type: sharegpt |
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conversation: llama3 |
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- path: flydust/Magpie-Reasoning-150K-Gemma2-9B |
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type: sharegpt |
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conversation: llama3 |
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- path: flydust/Magpie-100k-Gemma2-9B |
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type: sharegpt |
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conversation: llama3 |
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dataset_prepared_path: /data/zhangchen_xu/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-SFT-GMix-550K |
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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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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-GMix-550K |
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wandb_log_model: |
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hub_model_id: Magpie-Align/Llama-3.1-8B-Magpie-SFT-GMix-550K |
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gradient_accumulation_steps: 32 |
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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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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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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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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: |
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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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</details><br> |
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# Llama-3.1-8B-Magpie-SFT-GMix-550K |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4544 |
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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: 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: 4 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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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: cosine |
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- lr_scheduler_warmup_steps: 51 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9311 | 0.0038 | 1 | 0.9847 | |
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| 0.561 | 0.2015 | 53 | 0.5765 | |
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| 0.4843 | 0.4030 | 106 | 0.5039 | |
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| 0.4608 | 0.6045 | 159 | 0.4814 | |
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| 0.4454 | 0.8060 | 212 | 0.4678 | |
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| 0.4403 | 1.0075 | 265 | 0.4596 | |
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| 0.3965 | 1.1938 | 318 | 0.4574 | |
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| 0.3952 | 1.3953 | 371 | 0.4554 | |
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| 0.3962 | 1.5968 | 424 | 0.4547 | |
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| 0.3948 | 1.7983 | 477 | 0.4544 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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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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