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--- |
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library_name: transformers |
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license: other |
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base_model: sbintuitions/sarashina2.1-1b |
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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: sarashina2.1-1b-sft |
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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: `0.5.2` |
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```yaml |
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base_model: sbintuitions/sarashina2.1-1b |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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hub_model_id: Aratako/sarashina2.1-1b-sft |
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hub_strategy: "end" |
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push_dataset_to_hub: |
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hf_use_auth_token: true |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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liger_cross_entropy: false |
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liger_rope: true |
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liger_rms_norm: true |
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liger_swiglu: true |
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liger_fused_linear_cross_entropy: true |
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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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chat_template: chatml |
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datasets: |
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- path: Aratako/Magpie-Tanuki-Qwen2.5-72B-Answered |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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- path: Aratako/magpie-qwen2.5-32b-reasoning-100k-formatted |
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type: chat_template |
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field_messages: conversations |
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message_field_role: role |
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message_field_content: content |
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- path: Aratako/Open-Platypus-Japanese-masked-formatted |
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type: chat_template |
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field_messages: conversations |
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message_field_role: role |
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message_field_content: content |
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- path: kanhatakeyama/wizardlm8x22b-logical-math-coding-sft_additional-ja |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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- path: kanhatakeyama/ramdom-to-fixed-multiturn-Calm3 |
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split: 20240806filtered |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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- path: llm-jp/magpie-sft-v1.0 |
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type: chat_template |
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field_messages: conversations |
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message_field_role: role |
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message_field_content: content |
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- path: Aratako/aya-ja-evol-instruct-calm3-dpo-masked-sft |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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- path: Aratako/aya-ja-nemotron-dpo-masked-sft |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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- path: Aratako/Synthetic-JP-EN-Coding-Dataset-801k |
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split: "train[0:50000]" |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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- path: Aratako/orca-agentinstruct-1M-v1-selected-2 |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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- path: Aratako/Synthetic-JP-EN-Coding-Dataset-801k-50k |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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shuffle_merged_datasets: true |
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dataset_prepared_path: /workspace/data/fft-data-sarashina |
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val_set_size: 0.002 |
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output_dir: /workspace/data/1b-fft-out |
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sequence_len: 4096 |
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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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adapter: |
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lora_model_dir: |
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lora_r: |
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lora_alpha: |
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lora_dropout: |
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lora_target_linear: |
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lora_fan_in_fan_out: |
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wandb_project: 1b-fft |
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wandb_entity: aratako-lm |
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wandb_watch: |
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wandb_name: fft-attempt-1 |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 8 |
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num_epochs: 2 |
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optimizer: adamw_torch |
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lr_scheduler: cosine |
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cosine_min_lr_ratio: 0.1 |
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learning_rate: 0.00002 |
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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: false |
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early_stopping_patience: |
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auto_resume_from_checkpoints: true |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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save_strategy: steps |
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save_steps: 100 |
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save_total_limit: 1 |
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warmup_steps: 20 |
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eval_steps: 100 |
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eval_batch_size: 1 |
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eval_table_size: |
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eval_max_new_tokens: |
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debug: |
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deepspeed: /workspace/axolotl/deepspeed_configs/zero1.json |
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weight_decay: 0.01 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <pad> |
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tokens: |
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- "<|im_start|>" |
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- "<|im_end|>" |
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``` |
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</details><br> |
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# sarashina2.1-1b-sft |
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This model is a fine-tuned version of [sbintuitions/sarashina2.1-1b](https://huggingface.co/sbintuitions/sarashina2.1-1b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9366 |
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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: 8 |
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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: 4 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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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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| 1.2935 | 0.0015 | 1 | 1.4733 | |
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| 0.985 | 0.1515 | 100 | 1.0491 | |
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| 0.9131 | 0.3029 | 200 | 1.0156 | |
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| 0.9174 | 0.4544 | 300 | 0.9935 | |
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| 0.9257 | 0.6058 | 400 | 0.9806 | |
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| 0.869 | 0.7573 | 500 | 0.9694 | |
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| 0.8874 | 0.9087 | 600 | 0.9608 | |
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| 0.8041 | 1.0594 | 700 | 0.9557 | |
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| 0.8348 | 1.2109 | 800 | 0.9512 | |
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| 0.8353 | 1.3624 | 900 | 0.9466 | |
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| 0.8145 | 1.5138 | 1000 | 0.9432 | |
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| 0.8057 | 1.6653 | 1100 | 0.9400 | |
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| 0.838 | 1.8167 | 1200 | 0.9381 | |
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| 0.8446 | 1.9682 | 1300 | 0.9366 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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