| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| datasets: |
| - AlexHung29629/merged_aime_yamol_dataset |
| model-index: |
| - name: placeholder_sft_4ep/ |
| 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: `0.10.0.dev0` |
| ```yaml |
| base_model: /mnt/shared/tp1-an1/alex/Magistral/orignal_model |
| |
| 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/merged_aime_yamol_dataset |
| split: train |
| type: |
| system_prompt: "" |
| field_system: system |
| field_instruction: input |
| field_output: output |
| format: "{instruction}" |
| no_input_format: "{instruction}" |
| |
| dataset_prepared_path: ./sft_dataprep/ |
| val_set_size: 0 |
| output_dir: ./placeholder_sft_4ep/ |
| shuffle_merged_datasets: false |
| |
| sequence_len: 32768 |
| sample_packing: true |
| eval_sample_packing: false |
| pad_to_sequence_len: true |
| |
| wandb_project: TP1_2025_05 |
| wandb_entity: |
| wandb_watch: |
| wandb_name: Mistral-24B-SFT-250624 |
| use_tensorboard: true |
| |
| save_only_model: true |
| gradient_accumulation_steps: 1 |
| micro_batch_size: 1 |
| num_epochs: 4 |
| optimizer: adamw_torch_fused |
| lr_scheduler: cosine |
| learning_rate: 5e-6 |
| max_grad_norm: 1.0 |
| |
| adam_beta1: 0.9 |
| adam_beta2: 0.95 |
| adam_epsilon: 1e-8 |
| |
| bf16: true |
| tf32: false |
| |
| logging_steps: 1 |
| flash_attention: true |
| xformers_attention: false |
| sdp_attention: false |
| |
| warmup_ratio: 0.05 |
| saves_per_epoch: 1 |
| weight_decay: 0 |
| |
| fsdp: |
| - full_shard |
| - auto_wrap |
| fsdp_config: |
| fsdp_limit_all_gathers: true |
| fsdp_sync_module_states: true |
| fsdp_offload_params: true |
| fsdp_use_orig_params: true |
| fsdp_cpu_ram_efficient_loading: true |
| fsdp_activation_checkpointing: true |
| fsdp_transformer_layer_cls_to_wrap: MistralDecoderLayer |
| fsdp_state_dict_type: FULL_STATE_DICT |
| fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
| |
| seed: 42 |
| auto_resume_from_checkpoints: true |
| ``` |
|
|
| </details><br> |
|
|
| # placeholder_sft_4ep/ |
|
|
| This model was trained from scratch on the AlexHung29629/merged_aime_yamol_dataset 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: 5e-06 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 16 |
| - total_train_batch_size: 16 |
| - total_eval_batch_size: 16 |
| - 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: 4 |
| - num_epochs: 4.0 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.1 |
| - Tokenizers 0.21.1 |
| |
