Model save

README.md

@@ -1,3 +1,169 @@
----
-license: apache-2.0
----
+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-Coder-7B-Instruct
+tags:
+- axolotl
+- base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
+- lora
+- transformers
+datasets:
+- darwinkernelpanic/luau_corpus_axolotl
+pipeline_tag: text-generation
+model-index:
+- name: Qwen2.5-Coder-7B-Instruct-Luau
+  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: `0.13.0.dev0`
+```yaml
+base_model: Qwen/Qwen2.5-Coder-7B-Instruct
+# Auto-upload to HuggingFace when done
+hub_model_id: darwinkernelpanic/Qwen2.5-Coder-7B-Instruct-Luau  # Change this to your HF username
+hub_strategy: every_save  # Uploads checkpoints as you train
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: true
+
+datasets:
+  - path: darwinkernelpanic/luau_corpus_axolotl
+    type: completion
+    field_instruction: text  # Check the actual column names on HF
+    field_output: completion   # Might be "text" or "code" — verify first
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/qwen-luau-finetune
+
+sequence_len: 2048
+sample_packing: true
+eval_sample_packing: true
+
+adapter: qlora
+lora_model_dir:
+lora_r: 64
+lora_alpha: 64
+lora_dropout: 0.05
+lora_target_linear: true
+
+# Weights & Biases tracking (optional but clutch)
+wandb_project: qwen-luau-finetune
+wandb_entity:
+wandb_watch:
+wandb_name: qwen2.5-coder-7b-luau
+wandb_log_model:
+
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+num_epochs: 3
+optimizer: adamw_torch_fused
+lr_scheduler: cosine
+learning_rate: 0.0003
+bf16: auto
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+
+resume_from_checkpoint:
+logging_steps: 10
+flash_attention: true
+warmup_ratio: 0.1
+evals_per_epoch: 4
+saves_per_epoch: 1
+weight_decay: 0.01
+
+fsdp:
+  - full_shard
+  - auto_wrap
+fsdp_config:
+  fsdp_limit_all_gathers: true
+  fsdp_sync_module_states: true
+  fsdp_offload_params: false
+  fsdp_use_orig_params: false
+  fsdp_cpu_ram_efficient_loading: true
+  fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
+  fsdp_transformer_layer_cls_to_wrap: Qwen2DecoderLayer
+  fsdp_sharding_strategy: FULL_SHARD
+  fsdp_state_dict_type: FULL_STATE_DICT
+
+special_tokens:
+  pad_token: "<|endoftext|>"
+```
+
+</details><br>
+
+# Qwen2.5-Coder-7B-Instruct-Luau
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) on the darwinkernelpanic/luau_corpus_axolotl dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Ppl: nan
+- Memory/max Active (gib): 14.12
+- Memory/max Allocated (gib): 14.01
+- Memory/device Reserved (gib): 14.69
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 10
+- training_steps: 105
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Ppl    | Active (gib) | Allocated (gib) | Reserved (gib) |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------------:|:---------------:|:--------------:|
+| No log        | 0      | 0    | 3.9969          | 54.428 | 11.21        | 11.1            | 12.26          |
+| No log        | 0.2535 | 9    | nan             | nan    | 14.12        | 14.01           | 15.56          |
+| 12.4054       | 0.5070 | 18   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+| 0.0           | 0.7606 | 27   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+| 0.0           | 1.0    | 36   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+| 0.0           | 1.2535 | 45   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+| 0.0           | 1.5070 | 54   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+| 0.0           | 1.7606 | 63   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+| 0.0           | 2.0    | 72   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+| 0.0           | 2.2535 | 81   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+| 0.0           | 2.5070 | 90   | nan             | nan    | 11.83        | 11.72           | 14.69          |
+| 0.0           | 2.7606 | 99   | nan             | nan    | 14.12        | 14.01           | 14.69          |
+
+
+### Framework versions
+
+- PEFT 0.18.0
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu128
+- Datasets 4.4.1
+- Tokenizers 0.22.1