| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: kajuma/DiffLlama-1B |
| tags: |
| - generated_from_trainer |
| datasets: |
| - kajuma/Zero_SFT_Ja_v3.5 |
| model-index: |
| - name: output/model |
| 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: `0.13.0.dev0` |
| ```yaml |
| base_model: kajuma/DiffLlama-1B |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| |
| hub_model_id: |
| hub_strategy: |
| push_dataset_to_hub: |
| hf_use_auth_token: true |
| |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| liger_cross_entropy: false |
| liger_rope: true |
| liger_rms_norm: true |
| liger_swiglu: true |
| liger_fused_linear_cross_entropy: true |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| chat_template: tokenizer_default |
| |
| datasets: |
| - path: kajuma/Zero_SFT_Ja_v3.5 |
| type: chat_template |
| field_messages: messages |
| message_field_role: role |
| message_field_content: content |
| |
| shuffle_merged_datasets: true |
| dataset_prepared_path: ./output/dataset |
| val_set_size: 0.002 |
| output_dir: ./output/model |
| |
| sequence_len: 4096 |
| sample_packing: true |
| eval_sample_packing: false |
| pad_to_sequence_len: true |
| |
| adapter: |
| lora_model_dir: |
| lora_r: |
| lora_alpha: |
| lora_dropout: |
| lora_target_linear: |
| lora_fan_in_fan_out: |
| |
| wandb_project: diffllama |
| wandb_entity: tepic |
| wandb_watch: |
| wandb_name: diffllama-sft-datapilot |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 32 |
| micro_batch_size: 1 |
| num_epochs: 1 |
| optimizer: adamw_torch |
| lr_scheduler: cosine |
| cosine_min_lr_ratio: 0.1 |
| learning_rate: 5e-4 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: false |
| |
| gradient_checkpointing: false |
| early_stopping_patience: |
| auto_resume_from_checkpoints: true |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: false |
| |
| save_strategy: steps |
| save_steps: 100 |
| save_total_limit: 1 |
| |
| warmup_steps: 20 |
| eval_steps: 100 |
| eval_batch_size: 4 |
| eval_table_size: |
| eval_max_new_tokens: |
| debug: |
| deepspeed: |
| weight_decay: 0.01 |
| fsdp: |
| fsdp_config: |
| special_tokens: |
| ``` |
|
|
| </details><br> |
|
|
| # output/model |
|
|
| This model is a fine-tuned version of [kajuma/DiffLlama-1B](https://huggingface.co/kajuma/DiffLlama-1B) on the kajuma/Zero_SFT_Ja_v3.5 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.7823 |
| - Ppl: 5.9437 |
| - Memory/max Active (gib): 26.29 |
| - Memory/max Allocated (gib): 26.29 |
| - Memory/device Reserved (gib): 27.83 |
| |
| ## 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: 0.0005 |
| - train_batch_size: 1 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 32 |
| - total_train_batch_size: 32 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 20 |
| - training_steps: 575 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Ppl | Active (gib) | Allocated (gib) | Reserved (gib) | |
| |:-------------:|:------:|:----:|:---------------:|:-------:|:------------:|:---------------:|:--------------:| |
| | No log | 0 | 0 | 2.5499 | 12.8055 | 19.52 | 19.52 | 19.89 | |
| | 2.221 | 0.1739 | 100 | 2.1053 | 8.2094 | 26.29 | 26.29 | 27.82 | |
| | 2.0187 | 0.3477 | 200 | 1.9684 | 7.1593 | 26.29 | 26.29 | 27.83 | |
| | 1.8819 | 0.5216 | 300 | 1.8712 | 6.4960 | 26.29 | 26.29 | 27.83 | |
| | 1.7977 | 0.6955 | 400 | 1.8093 | 6.1060 | 26.29 | 26.29 | 27.83 | |
| | 1.7511 | 0.8693 | 500 | 1.7823 | 5.9437 | 26.29 | 26.29 | 27.83 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.1 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
| |
