Model save

README.md

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+---
+base_model: unsloth/Mistral-Small-Instruct-2409
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: mistral-small-dampf-qlora
+  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: `0.4.1`
+```yaml
+# huggingface-cli login --token $hf_key && wandb login $wandb_key
+# python -m axolotl.cli.preprocess ms-creative.yml
+# accelerate launch -m axolotl.cli.train ms-creative.yml
+# python -m axolotl.cli.merge_lora ms-creative.yml
+# huggingface-cli upload Columbidae/ms-type2-creative train-workspace/merged . --private
+
+# Model
+base_model: unsloth/Mistral-Small-Instruct-2409
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+bf16: true
+fp16:
+tf32: false
+flash_attention: true
+special_tokens:
+
+# Output
+output_dir: ./ms-creative
+hub_model_id: BeaverAI/mistral-small-dampf-qlora
+hub_strategy: "checkpoint"
+resume_from_checkpoint:
+saves_per_epoch: 5
+
+# Data
+sequence_len: 16384 # fits
+min_sample_len: 128
+dataset_prepared_path: last_run_prepared
+datasets:
+  - path: Dampfinchen/Creative_Writing_Multiturn
+    type: custommistralv3
+warmup_steps: 20
+shuffle_merged_datasets: true
+sample_packing: true
+pad_to_sequence_len: true
+
+# Batching
+num_epochs: 1
+gradient_accumulation_steps: 1
+micro_batch_size: 5
+eval_batch_size: 5
+
+# Evaluation
+val_set_size: 100
+evals_per_epoch: 5
+eval_table_size:
+eval_max_new_tokens: 256
+eval_sample_packing: false
+
+save_safetensors: true
+
+mlflow_tracking_uri: http://127.0.0.1:7860
+mlflow_experiment_name: Default
+# WandB
+#wandb_project: Mistral-Small-Creative-Multiturn
+#wandb_entity:
+
+gradient_checkpointing: 'unsloth'
+gradient_checkpointing_kwargs:
+   use_reentrant: true
+
+unsloth_cross_entropy_loss: true
+#unsloth_lora_mlp: true
+#unsloth_lora_qkv: true
+#unsloth_lora_o: true
+
+# LoRA
+adapter: qlora
+lora_model_dir:
+lora_r: 64
+lora_alpha: 128
+lora_dropout: 0.125
+lora_target_linear: 
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+lora_modules_to_save:
+
+# Optimizer
+optimizer: paged_adamw_8bit # adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.00005
+cosine_min_lr_ratio: 0.1
+weight_decay: 0.01
+max_grad_norm: 1.0
+
+# Misc
+train_on_inputs: false
+group_by_length: false
+early_stopping_patience:
+local_rank:
+logging_steps: 1
+xformers_attention:
+debug:
+deepspeed: deepspeed_configs/zero3.json # previously blank
+fsdp:
+fsdp_config:
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+
+```
+
+</details><br>
+
+# mistral-small-dampf-qlora
+
+This model is a fine-tuned version of [unsloth/Mistral-Small-Instruct-2409](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0232
+
+## 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-05
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 6
+- total_train_batch_size: 30
+- total_eval_batch_size: 30
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.477         | 0.0065 | 1    | 1.3211          |
+| 1.2338        | 0.2065 | 32   | 1.1156          |
+| 1.1973        | 0.4129 | 64   | 1.0707          |
+| 1.301         | 0.6194 | 96   | 1.0402          |
+| 1.1063        | 0.8258 | 128  | 1.0232          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.3.1
+- Datasets 2.21.0
+- Tokenizers 0.20.0