End of training

README.md

@@ -0,0 +1,176 @@
+---
+library_name: peft
+license: apache-2.0
+base_model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 3035acbb-208c-45e8-b45a-42740f4e387f
+  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
+adapter: lora
+base_model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 4b9f7432feb5e651_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/4b9f7432feb5e651_train_data.json
+  type:
+    field_instruction: instruction
+    field_output: response
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: auto
+do_eval: true
+early_stopping_patience: 5
+eval_batch_size: 4
+eval_max_new_tokens: 128
+eval_steps: 50
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: ardaspear/3035acbb-208c-45e8-b45a-42740f4e387f
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 10
+lora_alpha: 128
+lora_dropout: 0.3
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_modules_to_save:
+- lm_head
+lora_r: 64
+lora_target_linear: true
+loraplus_lr_ratio: 8
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_memory:
+  0: 75GB
+max_steps: 600
+micro_batch_size: 8
+mlflow_experiment_name: /tmp/4b9f7432feb5e651_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.95
+  adam_epsilon: 1.0e-05
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+peft_use_rslora: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 150
+saves_per_epoch: null
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: techspear-hub
+wandb_mode: online
+wandb_name: 11001b84-0290-4dbe-ace2-7cce8778af71
+wandb_project: Gradients-On-Five
+wandb_run: your_name
+wandb_runid: 11001b84-0290-4dbe-ace2-7cce8778af71
+warmup_steps: 10
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 3035acbb-208c-45e8-b45a-42740f4e387f
+
+This model is a fine-tuned version of [NousResearch/Nous-Hermes-2-Mistral-7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.2856
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 600
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0006 | 1    | 1.4292          |
+| 83.1917       | 0.0307 | 50   | 31.8326         |
+| 55.4798       | 0.0613 | 100  | 18.1148         |
+| 34.554        | 0.0920 | 150  | 9.6674          |
+| 31.387        | 0.1226 | 200  | 8.8578          |
+| 30.4714       | 0.1533 | 250  | 8.1497          |
+| 30.6027       | 0.1839 | 300  | 7.7460          |
+| 32.9979       | 0.2146 | 350  | 8.0175          |
+| 32.1933       | 0.2452 | 400  | 7.4365          |
+| 30.9719       | 0.2759 | 450  | 7.3362          |
+| 30.6896       | 0.3065 | 500  | 7.3630          |
+| 30.1351       | 0.3372 | 550  | 7.2547          |
+| 31.064        | 0.3678 | 600  | 7.2856          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0578c445b49a3ad422af69827d884138e6da7a5ef13bdad9ca0577ff7f8cbaa5
+size 933411406