End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT
+model-index:
+- name: Nous-Hermes-2-Mixtral-8x7B-SFT-Wikihow
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT
+model_type: MixtralForCausalLM
+tokenizer_type: LlamaTokenizer
+trust_remote_code: true
+
+# hub_model_id: MaziyarPanahi/Nous-Hermes-2-Mixtral-8x7B-SFT-Function-Calling
+hub_model_id: MaziyarPanahi/Nous-Hermes-2-Mixtral-8x7B-SFT-Wikihow
+hf_use_auth_token: true
+
+load_in_4bit: true
+strict: false
+
+# datasets:
+#   - path: Arist12/EABF-ShareGPT-Long-3.5k
+#     type: sharegpt
+#     conversation: chatml
+# datasets:
+#   - path: hypervariance/function-calling-sharegpt
+#     type: sharegpt
+#     conversation: chatml
+datasets:
+  - path: HuggingFaceTB/cosmopedia
+    name:
+      - wikihow
+    type:
+      system_prompt: ""
+      field_instruction: prompt
+      field_output: text
+      format: "[INST] {instruction} [/INST]"
+      no_input_format: "[INST] {instruction} [/INST]"
+    
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ./qlora-out-wikihow
+
+# save_safetensors: true
+
+adapter: qlora
+lora_model_dir: 
+
+sequence_len: 1024
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+#  - gate
+  - q_proj
+#  - k_proj
+  - v_proj
+#  - o_proj
+#  - w1
+#  - w2
+#  - w3
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+loss_watchdog_threshold: 5.0
+loss_watchdog_patience: 3
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+```
+
+</details><br>
+
+# Nous-Hermes-2-Mixtral-8x7B-SFT-Wikihow
+
+This model is a fine-tuned version of [NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4559
+
+## 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: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8589        | 0.0   | 1    | 0.8705          |
+| 0.5094        | 0.25  | 483  | 0.5009          |
+| 0.4503        | 0.5   | 966  | 0.4734          |
+| 0.4569        | 0.75  | 1449 | 0.4559          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.0

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