shuttleai
/

shuttle-3.5-moe-ckpts

@@ -1,202 +1,173 @@
 ---
-base_model: Qwen/Qwen3-30B-A3B
 library_name: peft
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
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 ### Framework versions
-- PEFT 0.15.2

 ---
 library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen3-30B-A3B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: shuttle-3.5-moe-ckpts
+  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: `0.9.0`
+```yaml
+# Weights and Biases logging config
+wandb_project: shuttle-3.5
+wandb_name: "3.5-moe"
+# Model architecture config
+base_model: Qwen/Qwen3-30B-A3B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+chat_template: chatml
+# Hugging Face saving config
+hub_model_id: shuttleai/shuttle-3.5-moe-ckpts
+hub_strategy: all_checkpoints
+# Model checkpointing config
+output_dir: ./moe-out
+saves_per_epoch: 5
+save_safetensors: true
+save_total_limit: 5
+# Mixed precision training config
+bf16: true
+fp16: false
+tf32: false
+# Model loading config
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+# Sequence config
+sequence_len: 14336
+s2_attention: false
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+train_on_inputs: false
+group_by_length: false
+# QLoRA adapter config
+adapter: qlora
+lora_r: 64
+lora_alpha: 64
+lora_dropout: 0.05
+peft_use_dora: false
+lora_target_modules:
+    - gate_proj
+    - down_proj
+    - up_proj
+    - q_proj
+    - v_proj
+    - k_proj
+    - o_proj
+# Dataset config
+datasets:
+    - path: ./dataset
+      type: chat_template
+val_set_size: 0.05
+evals_per_epoch: 2
+dataset_prepared_path: ./prepared-datasets
+shuffle_merged_datasets: true
+# Training hyperparameters
+num_epochs: 1
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+eval_batch_size: 1
+warmup_steps: 500
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-4
+loraplus_lr_ratio: 8
+cosine_min_lr_ratio: 0.1
+weight_decay: 0.1
+max_grad_norm: 1
+logging_steps: 1
+# Model optimization
+unsloth_lora_qkv: true
+gradient_checkpointing: unsloth
+xformers_attention: false
+flash_attention: true
+sdp_attention: false
+unsloth_cross_entropy_loss: true
+unsloth_lora_mlp: false
+unsloth_lora_qkv: false
+unsloth_lora_o: false
+# Loss monitoring config
+early_stopping_patience: false
+loss_watchdog_threshold: 100.0
+loss_watchdog_patience: 3
+# Debug config
+debug: false
+seed: 42
+deepspeed: deepspeed_configs/zero2.json
+```
+</details><br>
+# shuttle-3.5-moe-ckpts
+This model is a fine-tuned version of [Qwen/Qwen3-30B-A3B](https://huggingface.co/Qwen/Qwen3-30B-A3B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1380
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 500
+- num_epochs: 1.0
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 5.4277        | 0.0006 | 1    | 5.3197          |
+| 1.7432        | 0.5003 | 869  | 1.1380          |
 ### Framework versions
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1