| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| datasets: |
| - AlexHung29629/train_0415_input_output |
| model-index: |
| - name: placeholder_sft/ |
| 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: `0.8.1` |
| ```yaml |
| base_model: ./placeholder_embed/merged/ |
| |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| liger_rope: true |
| liger_rms_norm: true |
| liger_glu_activation: true |
| liger_fused_linear_cross_entropy: true |
| |
| datasets: |
| - path: AlexHung29629/train_0415_input_output |
| type: input_output |
| dataset_prepared_path: ./sft_dataprep/ |
| val_set_size: 0 |
| output_dir: ./placeholder_sft/ |
| shuffle_merged_datasets: false |
| |
| #eval_steps: 10 |
| #eval_strategy: |
| |
| sequence_len: 32768 |
| sample_packing: true |
| eval_sample_packing: false |
| pad_to_sequence_len: true |
| |
| wandb_project: Reasoning_TP1_2025 |
| wandb_entity: |
| wandb_watch: |
| wandb_name: Mistral-24B-SFT-Reasoning-250414_sft |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 2 |
| micro_batch_size: 1 |
| num_epochs: 5 |
| optimizer: adamw_torch_fused |
| lr_scheduler: cosine |
| learning_rate: 1e-5 |
| max_grad_norm: 1.0 |
| |
| adam_beta1: 0.9 |
| adam_beta2: 0.95 |
| adam_epsilon: 1e-8 |
| |
| bf16: true |
| tf32: false |
| |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: true |
| logging_steps: 1 |
| flash_attention: true |
| xformers_attention: false |
| sdp_attention: false |
| |
| warmup_ratio: 0.05 |
| saves_per_epoch: 1 |
| save_total_limit: 5 |
| weight_decay: 0.1 |
| deepspeed: /mnt/shared/twsc/alex/reasoning/zero3_bf16.json |
| special_tokens: |
| pad_token: "<pad>" |
| #added_tokens_overrides: # Dict[int, str] |
| # 20: "<think>" |
| # 21: "</think>" |
| |
| seed: 42 |
| |
| ``` |
|
|
| </details><br> |
|
|
| # placeholder_sft/ |
| |
| This model was trained from scratch on the AlexHung29629/train_0415_input_output dataset. |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 64 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 64 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 246 |
| - num_epochs: 5.0 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.51.0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
|
|
