sn56t0
/

385d0209-5a48-4c55-afeb-fa0021266d80

+---
+library_name: peft
+license: mit
+base_model: microsoft/Phi-3-mini-4k-instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 385d0209-5a48-4c55-afeb-fa0021266d80
+  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
+auto_find_batch_size: true
+base_model: microsoft/Phi-3-mini-4k-instruct
+bf16: auto
+chat_template: llama3
+dataloader_num_workers: 12
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 11bb3328a39885eb_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/11bb3328a39885eb_train_data.json
+  type:
+    field_instruction: query
+    field_output: atom
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+early_stopping_threshold: 0.001
+eval_max_new_tokens: 128
+eval_steps: 20
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 2
+gradient_checkpointing: false
+group_by_length: false
+hub_model_id: sn56t0/385d0209-5a48-4c55-afeb-fa0021266d80
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0003
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 100
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 8
+lora_target_linear: true
+lr_scheduler: cosine
+micro_batch_size: 32
+mlflow_experiment_name: /tmp/11bb3328a39885eb_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 5
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+s2_attention: null
+sample_packing: false
+save_steps: 20
+saves_per_epoch: 0
+seed: 754886094
+sequence_len: 512
+shuffle: true
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+torch_compile: true
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: sn56-miner
+wandb_mode: disabled
+wandb_name: null
+wandb_project: god
+wandb_run: 38ik
+wandb_runid: null
+warmup_ratio: 0.05
+weight_decay: 0.0
+xformers_attention: null
+```
+</details><br>
+# 385d0209-5a48-4c55-afeb-fa0021266d80
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6789
+## 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: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 754886094
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 256
+- total_eval_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_BNB 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: 16
+- num_epochs: 5
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0075 | 1    | 1.6674          |
+| No log        | 0.1509 | 20   | 0.9842          |
+| No log        | 0.3019 | 40   | 0.7868          |
+| No log        | 0.4528 | 60   | 0.7475          |
+| No log        | 0.6038 | 80   | 0.7317          |
+| 1.7686        | 0.7547 | 100  | 0.7231          |
+| 1.7686        | 0.9057 | 120  | 0.7148          |
+| 1.7686        | 1.0566 | 140  | 0.7108          |
+| 1.7686        | 1.2075 | 160  | 0.7068          |
+| 1.7686        | 1.3585 | 180  | 0.7043          |
+| 1.3649        | 1.5094 | 200  | 0.7011          |
+| 1.3649        | 1.6604 | 220  | 0.6980          |
+| 1.3649        | 1.8113 | 240  | 0.6959          |
+| 1.3649        | 1.9623 | 260  | 0.6925          |
+| 1.3649        | 2.1132 | 280  | 0.6920          |
+| 1.3269        | 2.2642 | 300  | 0.6920          |
+| 1.3269        | 2.4151 | 320  | 0.6893          |
+| 1.3269        | 2.5660 | 340  | 0.6882          |
+| 1.3269        | 2.7170 | 360  | 0.6864          |
+| 1.3269        | 2.8679 | 380  | 0.6846          |
+| 1.2806        | 3.0189 | 400  | 0.6831          |
+| 1.2806        | 3.1698 | 420  | 0.6832          |
+| 1.2806        | 3.3208 | 440  | 0.6837          |
+| 1.2806        | 3.4717 | 460  | 0.6820          |
+| 1.2806        | 3.6226 | 480  | 0.6815          |
+| 1.2517        | 3.7736 | 500  | 0.6806          |
+| 1.2517        | 3.9245 | 520  | 0.6802          |
+| 1.2517        | 4.0755 | 540  | 0.6800          |
+| 1.2517        | 4.2264 | 560  | 0.6797          |
+| 1.2517        | 4.3774 | 580  | 0.6792          |
+| 1.2416        | 4.5283 | 600  | 0.6792          |
+| 1.2416        | 4.6792 | 620  | 0.6789          |
+| 1.2416        | 4.8302 | 640  | 0.6789          |
+| 1.2416        | 4.9811 | 660  | 0.6789          |
+### 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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