| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: Qwen/Qwen3-4B-Base |
| | tags: |
| | - axolotl |
| | - generated_from_trainer |
| | datasets: |
| | - GreenerPastures/All-Your-Base-Full |
| | model-index: |
| | - name: Sugma4B |
| | 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: Qwen/Qwen3-4B-Base |
| | |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | strict: false |
| | |
| | chat_template: qwen3 |
| | datasets: |
| | - path: GreenerPastures/All-Your-Base-Full |
| | type: chat_template |
| | split: train |
| | field_messages: conversations |
| | message_property_mappings: |
| | role: from |
| | content: value |
| | val_set_size: 0.01 |
| | output_dir: ./outputs/out |
| | dataset_prepared_path: last_run_prepared |
| | shuffle_merged_datasets: true |
| | |
| | hub_model_id: hardlyworking/Sugma4B |
| | hub_strategy: "all_checkpoints" |
| | push_dataset_to_hub: |
| | hf_use_auth_token: true |
| | |
| | plugins: |
| | - axolotl.integrations.liger.LigerPlugin |
| | - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
| | liger_rope: true |
| | liger_rms_norm: true |
| | liger_layer_norm: true |
| | liger_glu_activation: true |
| | liger_fused_linear_cross_entropy: false |
| | cut_cross_entropy: true |
| | |
| | sequence_len: 8192 |
| | sample_packing: true |
| | eval_sample_packing: true |
| | pad_to_sequence_len: true |
| | |
| | wandb_project: Qwen4B |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: Qwen4B |
| | wandb_log_model: |
| | |
| | evals_per_epoch: 8 |
| | eval_table_size: |
| | eval_max_new_tokens: 128 |
| | |
| | gradient_accumulation_steps: 8 |
| | micro_batch_size: 2 |
| | num_epochs: 2 |
| | optimizer: adamw_bnb_8bit |
| | lr_scheduler: cosine |
| | learning_rate: 1e-5 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: |
| | tf32: false |
| | |
| | gradient_checkpointing: offload |
| | gradient_checkpointing_kwargs: |
| | use_reentrant: false |
| | early_stopping_patience: |
| | resume_from_checkpoint: |
| | local_rank: |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | s2_attention: |
| | |
| | deepspeed: |
| | |
| | warmup_ratio: 0.05 |
| | saves_per_epoch: 1 |
| | debug: |
| | weight_decay: 0.01 |
| | fsdp: |
| | fsdp_config: |
| | special_tokens: |
| | pad_token: |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # Sugma4B |
| |
|
| | This model is a fine-tuned version of [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B-Base) on the GreenerPastures/All-Your-Base-Full dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9300 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 32 |
| | - total_eval_batch_size: 4 |
| | - optimizer: Use OptimizerNames.ADAMW_BNB 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: 52 |
| | - num_epochs: 2.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.1154 | 0.0019 | 1 | 1.1372 | |
| | | 0.9351 | 0.125 | 65 | 1.0074 | |
| | | 0.8884 | 0.25 | 130 | 0.9758 | |
| | | 0.9853 | 0.375 | 195 | 0.9608 | |
| | | 0.8998 | 0.5 | 260 | 0.9490 | |
| | | 0.8919 | 0.625 | 325 | 0.9420 | |
| | | 0.914 | 0.75 | 390 | 0.9376 | |
| | | 0.8873 | 0.875 | 455 | 0.9346 | |
| | | 0.8854 | 1.0 | 520 | 0.9326 | |
| | | 0.9365 | 1.125 | 585 | 0.9316 | |
| | | 0.8865 | 1.25 | 650 | 0.9308 | |
| | | 0.9696 | 1.375 | 715 | 0.9304 | |
| | | 0.9119 | 1.5 | 780 | 0.9302 | |
| | | 0.8793 | 1.625 | 845 | 0.9301 | |
| | | 0.9265 | 1.75 | 910 | 0.9301 | |
| | | 0.9375 | 1.875 | 975 | 0.9301 | |
| | | 0.8473 | 2.0 | 1040 | 0.9300 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.51.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.21.1 |
| | |
