End of training

README.md

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+---
+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