--- library_name: transformers license: other base_model: sbintuitions/sarashina2.1-1b tags: - axolotl - generated_from_trainer model-index: - name: sarashina2.1-1b-sft results: [] --- [Built with Axolotl](https://github.com/axolotl-ai-cloud/axolotl)
See axolotl config axolotl version: `0.5.2` ```yaml base_model: sbintuitions/sarashina2.1-1b model_type: AutoModelForCausalLM tokenizer_type: AutoTokenizer hub_model_id: Aratako/sarashina2.1-1b-sft hub_strategy: "end" 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: chatml datasets: - path: Aratako/Magpie-Tanuki-Qwen2.5-72B-Answered type: chat_template field_messages: messages message_field_role: role message_field_content: content - path: Aratako/magpie-qwen2.5-32b-reasoning-100k-formatted type: chat_template field_messages: conversations message_field_role: role message_field_content: content - path: Aratako/Open-Platypus-Japanese-masked-formatted type: chat_template field_messages: conversations message_field_role: role message_field_content: content - path: kanhatakeyama/wizardlm8x22b-logical-math-coding-sft_additional-ja type: chat_template field_messages: messages message_field_role: role message_field_content: content - path: kanhatakeyama/ramdom-to-fixed-multiturn-Calm3 split: 20240806filtered type: chat_template field_messages: messages message_field_role: role message_field_content: content - path: llm-jp/magpie-sft-v1.0 type: chat_template field_messages: conversations message_field_role: role message_field_content: content - path: Aratako/aya-ja-evol-instruct-calm3-dpo-masked-sft type: chat_template field_messages: messages message_field_role: role message_field_content: content - path: Aratako/aya-ja-nemotron-dpo-masked-sft type: chat_template field_messages: messages message_field_role: role message_field_content: content - path: Aratako/Synthetic-JP-EN-Coding-Dataset-801k split: "train[0:50000]" type: chat_template field_messages: messages message_field_role: role message_field_content: content - path: Aratako/orca-agentinstruct-1M-v1-selected-2 type: chat_template field_messages: messages message_field_role: role message_field_content: content - path: Aratako/Synthetic-JP-EN-Coding-Dataset-801k-50k type: chat_template field_messages: messages message_field_role: role message_field_content: content shuffle_merged_datasets: true dataset_prepared_path: /workspace/data/fft-data-sarashina val_set_size: 0.002 output_dir: /workspace/data/1b-fft-out 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: 1b-fft wandb_entity: aratako-lm wandb_watch: wandb_name: fft-attempt-1 wandb_log_model: gradient_accumulation_steps: 4 micro_batch_size: 8 num_epochs: 2 optimizer: adamw_torch lr_scheduler: cosine cosine_min_lr_ratio: 0.1 learning_rate: 0.00002 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: true save_strategy: steps save_steps: 100 save_total_limit: 1 warmup_steps: 20 eval_steps: 100 eval_batch_size: 1 eval_table_size: eval_max_new_tokens: debug: deepspeed: /workspace/axolotl/deepspeed_configs/zero1.json weight_decay: 0.01 fsdp: fsdp_config: special_tokens: pad_token: tokens: - "<|im_start|>" - "<|im_end|>" ```

# sarashina2.1-1b-sft This model is a fine-tuned version of [sbintuitions/sarashina2.1-1b](https://huggingface.co/sbintuitions/sarashina2.1-1b) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9366 ## 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: 2e-05 - train_batch_size: 8 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 4 - total_train_batch_size: 256 - total_eval_batch_size: 8 - 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 - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.2935 | 0.0015 | 1 | 1.4733 | | 0.985 | 0.1515 | 100 | 1.0491 | | 0.9131 | 0.3029 | 200 | 1.0156 | | 0.9174 | 0.4544 | 300 | 0.9935 | | 0.9257 | 0.6058 | 400 | 0.9806 | | 0.869 | 0.7573 | 500 | 0.9694 | | 0.8874 | 0.9087 | 600 | 0.9608 | | 0.8041 | 1.0594 | 700 | 0.9557 | | 0.8348 | 1.2109 | 800 | 0.9512 | | 0.8353 | 1.3624 | 900 | 0.9466 | | 0.8145 | 1.5138 | 1000 | 0.9432 | | 0.8057 | 1.6653 | 1100 | 0.9400 | | 0.838 | 1.8167 | 1200 | 0.9381 | | 0.8446 | 1.9682 | 1300 | 0.9366 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.3.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3