besimray
/

miner_id_1_383a850e-bb15-45a2-8f4b-fc96eb001a74_1729712965

+---
+library_name: peft
+license: llama3.2
+base_model: unsloth/Llama-3.2-1B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: miner_id_1_383a850e-bb15-45a2-8f4b-fc96eb001a74_1729712965
+  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:
+- path: mhenrichsen/alpaca_2k_test
+  type: alpaca
+debug: null
+deepspeed: null
+early_stopping_patience: 10
+eval_max_new_tokens: 128
+eval_steps: 20
+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
+hub_model_id: besimray/miner_id_1_383a850e-bb15-45a2-8f4b-fc96eb001a74_1729712965
+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: 16
+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: 10000
+micro_batch_size: 10
+mlflow_experiment_name: mhenrichsen/alpaca_2k_test
+model_type: LlamaForCausalLM
+num_epochs: 100
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_besimray
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 20
+save_strategy: steps
+sequence_len: 4096
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+val_set_size: 0.05
+wandb_entity: besimray24-rayon
+wandb_mode: online
+wandb_project: Public_TuningSN
+wandb_run: miner_id_24
+wandb_runid: 383a850e-bb15-45a2-8f4b-fc96eb001a74
+warmup_steps: 10
+weight_decay: 0.01
+xformers_attention: null
+```
+</details><br>
+# miner_id_1_383a850e-bb15-45a2-8f4b-fc96eb001a74_1729712965
+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: 1.5010
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 40
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 4750
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.2983        | 0.0211 | 1    | 1.2586          |
+| 1.3601        | 0.4211 | 20   | 1.1757          |
+| 1.2034        | 0.8421 | 40   | 1.1567          |
+| 1.1302        | 1.2632 | 60   | 1.1534          |
+| 1.0958        | 1.6842 | 80   | 1.1512          |
+| 1.0285        | 2.1053 | 100  | 1.1653          |
+| 1.1265        | 2.5263 | 120  | 1.1785          |
+| 1.0215        | 2.9474 | 140  | 1.1921          |
+| 0.8495        | 3.3684 | 160  | 1.2673          |
+| 0.901         | 3.7895 | 180  | 1.2611          |
+| 0.7058        | 4.2105 | 200  | 1.3737          |
+| 0.7428        | 4.6316 | 220  | 1.3824          |
+| 0.4866        | 5.0526 | 240  | 1.4475          |
+| 0.5298        | 5.4737 | 260  | 1.5484          |
+| 0.5671        | 5.8947 | 280  | 1.5010          |
+### Framework versions
+- PEFT 0.13.2
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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