End of training

README.md

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+---
+base_model: unsloth/Meta-Llama-3.1-8B
+library_name: peft
+license: llama3.1
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: adventure-nemo-ws
+  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
+# python -m axolotl.cli.preprocess adventure-l31.yml
+# accelerate launch -m axolotl.cli.train adventure-l31.yml
+# python -m axolotl.cli.merge_lora adventure-l31.yml
+
+base_model: unsloth/Meta-Llama-3.1-8B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+sequence_len: 8192 # 99% vram
+bf16: auto
+fp16:
+tf32: false
+flash_attention: true
+special_tokens:
+
+# Data
+dataset_prepared_path: last_run_prepared
+datasets:
+  - path: ColumbidAI/adventure-8k
+    type: completion
+warmup_steps: 20
+shuffle_merged_datasets: true
+
+save_safetensors: true
+saves_per_epoch: 4
+save_total_limit: 2
+
+# WandB
+wandb_project: L31-A
+wandb_entity:
+
+# Iterations
+num_epochs: 1
+
+# Output
+output_dir: ./adventure-command-r-workspace
+hub_model_id: ToastyPigeon/adventure-nemo-ws
+hub_strategy: "all_checkpoints"
+
+# Sampling
+sample_packing: true
+pad_to_sequence_len: true
+
+# Batching
+gradient_accumulation_steps: 2
+micro_batch_size: 8
+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
+
+# Evaluation
+val_set_size: 0.01
+evals_per_epoch: 5
+eval_table_size:
+eval_max_new_tokens: 256
+eval_sample_packing: false
+eval_batch_size: 1
+
+# LoRA
+adapter: qlora
+lora_model_dir:
+lora_r: 64
+lora_alpha: 32
+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
+lr_scheduler: cosine_with_min_lr
+lr_scheduler_kwargs:
+    min_lr: 0.000005
+weight_decay: 0.01
+max_grad_norm: 20.0
+
+# Misc
+train_on_inputs: false
+group_by_length: false
+early_stopping_patience:
+local_rank:
+logging_steps: 1
+xformers_attention:
+debug:
+#deepspeed: /workspace/axolotl/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>
+
+# adventure-nemo-ws
+
+This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3893
+
+## 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: 8
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_min_lr
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.2246        | 0.0045 | 1    | 2.4988          |
+| 2.1034        | 0.2013 | 45   | 2.4257          |
+| 2.2138        | 0.4027 | 90   | 2.4077          |
+| 2.1541        | 0.6040 | 135  | 2.3941          |
+| 2.0555        | 0.8054 | 180  | 2.3893          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1