End of training

README.md

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+---
+library_name: peft
+base_model: heegyu/WizardVicuna2-13b-hf
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: d1526c12-8a5c-45c2-8a7c-e005e4428b34
+  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: qlora
+auto_resume_from_checkpoints: true
+base_model: heegyu/WizardVicuna2-13b-hf
+bf16: auto
+chat_template: llama3
+dataloader_num_workers: 12
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - afb1fdb32bdf02c6_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/afb1fdb32bdf02c6_train_data.json
+  type:
+    field_instruction: premise
+    field_output: hypothesis
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: false
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: error577/d1526c12-8a5c-45c2-8a7c-e005e4428b34
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 10
+lora_alpha: 128
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: null
+micro_batch_size: 1
+mlflow_experiment_name: /tmp/afb1fdb32bdf02c6_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_torch_4bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 100
+sequence_len: 512
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.005
+wandb_entity: null
+wandb_mode: online
+wandb_name: d8eda0ee-8aeb-47d4-bebc-dd3dba382021
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: d8eda0ee-8aeb-47d4-bebc-dd3dba382021
+warmup_steps: 30
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# d1526c12-8a5c-45c2-8a7c-e005e4428b34
+
+This model is a fine-tuned version of [heegyu/WizardVicuna2-13b-hf](https://huggingface.co/heegyu/WizardVicuna2-13b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5516
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH_4BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 30
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0003 | 1    | 4.5872          |
+| 4.0918        | 0.0311 | 100  | 3.9953          |
+| 3.8106        | 0.0621 | 200  | 3.5150          |
+| 3.6256        | 0.0932 | 300  | 3.4052          |
+| 3.2791        | 0.1242 | 400  | 3.2580          |
+| 3.2456        | 0.1553 | 500  | 3.0634          |
+| 2.9189        | 0.1864 | 600  | 3.0874          |
+| 3.0159        | 0.2174 | 700  | 2.9400          |
+| 3.0506        | 0.2485 | 800  | 2.9574          |
+| 3.1942        | 0.2795 | 900  | 2.8810          |
+| 2.7516        | 0.3106 | 1000 | 2.8531          |
+| 2.9822        | 0.3417 | 1100 | 2.8689          |
+| 2.7943        | 0.3727 | 1200 | 2.8961          |
+| 2.7773        | 0.4038 | 1300 | 2.7702          |
+| 3.0787        | 0.4349 | 1400 | 2.7362          |
+| 2.6754        | 0.4659 | 1500 | 2.7145          |
+| 2.882         | 0.4970 | 1600 | 2.6246          |
+| 2.8287        | 0.5280 | 1700 | 2.6403          |
+| 2.8178        | 0.5591 | 1800 | 2.5918          |
+| 2.8114        | 0.5902 | 1900 | 2.6481          |
+| 3.0178        | 0.6212 | 2000 | 2.5809          |
+| 2.7718        | 0.6523 | 2100 | 2.5701          |
+| 2.785         | 0.6833 | 2200 | 2.5290          |
+| 2.8581        | 0.7144 | 2300 | 2.5949          |
+| 2.8815        | 0.7455 | 2400 | 2.6250          |
+| 2.9384        | 0.7765 | 2500 | 2.5516          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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