besimray
/

miner1_8d27b12f-38e5-4ec2-8775-bd249cc4a979_1730950388

+---
+library_name: peft
+license: llama3.1
+base_model: unsloth/Meta-Llama-3.1-8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: miner1_8d27b12f-38e5-4ec2-8775-bd249cc4a979_1730950388
+  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: unsloth/Meta-Llama-3.1-8B
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - databricks-dolly-15k_train_data.json
+  ds_type: json
+  path: /workspace/input_data/databricks-dolly-15k_train_data.json
+  type:
+    field_input: instruction
+    field_instruction: context
+    field_output: response
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 10
+eval_table_size: null
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hours_to_complete: 3
+hub_model_id: besimray/miner1_8d27b12f-38e5-4ec2-8775-bd249cc4a979_1730950388
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: true
+local_rank: null
+logging_steps: 1
+lora_alpha: 32
+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_steps: 500
+micro_batch_size: 1
+mlflow_experiment_name: /tmp/databricks-dolly-15k_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 10
+save_strategy: steps
+sequence_len: 4096
+started_at: '2024-11-07T03:33:08.527346'
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: besimray24-rayon
+wandb_mode: online
+wandb_project: Public_TuningSN
+wandb_run: miner_id_24
+wandb_runid: 8d27b12f-38e5-4ec2-8775-bd249cc4a979
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+```
+</details><br>
+# miner1_8d27b12f-38e5-4ec2-8775-bd249cc4a979_1730950388
+This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3085
+## 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_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: 10
+- training_steps: 500
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.6543        | 0.0003 | 1    | 2.1089          |
+| 1.9124        | 0.0028 | 10   | 1.7352          |
+| 1.7376        | 0.0056 | 20   | 1.3372          |
+| 1.1217        | 0.0085 | 30   | 1.3265          |
+| 2.0251        | 0.0113 | 40   | 1.3247          |
+| 0.7312        | 0.0141 | 50   | 1.3040          |
+| 1.6222        | 0.0169 | 60   | 1.3197          |
+| 2.0554        | 0.0198 | 70   | 1.2938          |
+| 2.0072        | 0.0226 | 80   | 1.2894          |
+| 1.5481        | 0.0254 | 90   | 1.2990          |
+| 1.5813        | 0.0282 | 100  | 1.3071          |
+| 1.9418        | 0.0311 | 110  | 1.3085          |
+### Framework versions
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.3.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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