besimray
/

miner_id_2_ba9938bd-5490-4a39-90ab-976131f92334_1730940658

+---
+library_name: peft
+license: llama3.2
+base_model: unsloth/Llama-3.2-1B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: miner_id_2_ba9938bd-5490-4a39-90ab-976131f92334_1730940658
+  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/Llama-3.2-1B-Instruct
+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: 5
+hub_model_id: besimray/miner_id_2_ba9938bd-5490-4a39-90ab-976131f92334_1730940658
+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: '2024-11-07T00:50:58.115572'
+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: ba9938bd-5490-4a39-90ab-976131f92334
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+```
+</details><br>
+# miner_id_2_ba9938bd-5490-4a39-90ab-976131f92334_1730940658
+This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6064
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 500
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.9521        | 0.0003 | 1    | 2.3526          |
+| 2.1819        | 0.0028 | 10   | 2.1240          |
+| 2.7934        | 0.0056 | 20   | 1.7092          |
+| 1.6372        | 0.0085 | 30   | 1.6834          |
+| 2.644         | 0.0113 | 40   | 1.6503          |
+| 1.315         | 0.0141 | 50   | 1.6434          |
+| 1.3254        | 0.0169 | 60   | 1.6338          |
+| 1.3705        | 0.0198 | 70   | 1.6126          |
+| 2.1504        | 0.0226 | 80   | 1.6024          |
+| 1.8115        | 0.0254 | 90   | 1.6072          |
+| 1.4758        | 0.0282 | 100  | 1.6011          |
+| 1.756         | 0.0311 | 110  | 1.6046          |
+| 1.4979        | 0.0339 | 120  | 1.6037          |
+| 1.3798        | 0.0367 | 130  | 1.5969          |
+| 1.4788        | 0.0395 | 140  | 1.6231          |
+| 1.1614        | 0.0424 | 150  | 1.6199          |
+| 1.3886        | 0.0452 | 160  | 1.6064          |
+### Framework versions
+- PEFT 0.13.2
+- Transformers 4.45.2
+- Pytorch 2.3.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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