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README.md

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+---
+base_model: NousResearch/Hermes-3-Llama-3.1-8B
+library_name: peft
+license: llama3
+tags:
+- generated_from_trainer
+model-index:
+- name: lora-out
+  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
+###
+# Model Configuration: LLaMA-3 70B
+###
+
+base_model: NousResearch/Hermes-3-Llama-3.1-8B
+# base_model: NousResearch/Hermes-3-Llama-3.1-70B
+sequence_len: 1024
+
+# base model weight quantization
+load_in_8bit: true
+# load_in_4bit: true
+
+# attention implementation
+flash_attention: true
+
+# finetuned adapter config
+adapter: lora
+lora_model_dir:
+lora_r: 16
+lora_alpha: 32
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_modules_to_save: # required when adding new tokens to LLaMA/Mistral
+  - embed_tokens
+  - lm_head
+# for details, see https://github.com/huggingface/peft/issues/334#issuecomment-1561727994
+
+###
+# Dataset Configuration: sqlqa
+###
+# datasets:
+#   - path: data.jsonl
+#     type: alpaca
+
+datasets:
+  - path: data.jsonl
+    ds_type: json
+    type:
+      field_instruction: instruction
+      field_input: input
+      field_output: output
+      format: |-
+        [INST] {instruction}
+        {input} [/INST]
+
+chat_template: llama3
+tokens:
+  - "[INST]"
+  - " [/INST]"
+  - "[QL]"
+  - " [/QL]"
+  - "[EXPLANATION]"
+  - " [/EXPLANATION]"
+# dataset formatting config
+
+special_tokens:
+  pad_token: <|end_of_text|>
+
+val_set_size: 0.05
+
+###
+# Training Configuration
+###
+
+# masks the input messages so that the model learns and understands the language w/o being reliant on the input
+train_on_inputs: false
+# random seed for better reproducibility
+seed: 117
+
+# optimizer config
+optimizer: adamw_bnb_8bit
+learning_rate: 0.0001
+lr_scheduler: cosine
+num_epochs: 4
+micro_batch_size: 4
+gradient_accumulation_steps: 1
+warmup_steps: 10
+
+# axolotl saving config
+dataset_prepared_path: last_run_prepared
+output_dir: ./lora-out
+
+# logging and eval config
+logging_steps: 1
+eval_steps: 0.05
+
+# training performance optimization config
+bf16: auto
+tf32: false
+gradient_checkpointing: true
+
+###
+# Miscellaneous Configuration
+###
+
+# when true, prevents over-writing the config from the CLI
+strict: false
+
+# "Don't mess with this, it's here for accelerate and torchrun" -- axolotl docs
+local_rank:
+
+# WANDB
+wandb_mode:
+wandb_project:
+wandb_watch:
+wandb_name:
+wandb_run_id:
+
+# Multi-GPU
+# deepspeed: /root/axolotl/deepspeed_configs/zero3_bf16.json
+# deepspeed: zero3_bf16.json
+# deepspeed: /workspace/axolotl/deepspeed_configs/zero2.json
+deepspeed:
+fsdp:
+fsdp_config:
+
+```
+
+</details><br>
+
+# lora-out
+
+This model is a fine-tuned version of [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0391
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 117
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.1647        | 0.0769 | 1    | 2.2016          |
+| 2.1505        | 0.2308 | 3    | 2.1168          |
+| 1.7332        | 0.4615 | 6    | 1.5604          |
+| 1.0807        | 0.6923 | 9    | 0.8788          |
+| 0.5284        | 0.9231 | 12   | 0.4853          |
+| 0.3215        | 1.1538 | 15   | 0.2911          |
+| 0.2114        | 1.3846 | 18   | 0.1958          |
+| 0.1493        | 1.6154 | 21   | 0.1374          |
+| 0.1081        | 1.8462 | 24   | 0.1066          |
+| 0.0751        | 2.0769 | 27   | 0.0821          |
+| 0.0782        | 2.3077 | 30   | 0.0689          |
+| 0.0524        | 2.5385 | 33   | 0.0602          |
+| 0.0538        | 2.7692 | 36   | 0.0523          |
+| 0.0442        | 3.0    | 39   | 0.0464          |
+| 0.0385        | 3.2308 | 42   | 0.0417          |
+| 0.0358        | 3.4615 | 45   | 0.0410          |
+| 0.0336        | 3.6923 | 48   | 0.0388          |
+| 0.0336        | 3.9231 | 51   | 0.0391          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.0