End of training

README.md

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+---
+library_name: peft
+license: llama3.2
+base_model: unsloth/Llama-3.2-1B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: miner1_60c4f9de-24ff-4eeb-a041-3c142f4f4888_1731086176
+  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:
+  - MATH-Hard_train_data.json
+  ds_type: json
+  path: /workspace/input_data/MATH-Hard_train_data.json
+  type:
+    field_input: solution
+    field_instruction: type
+    field_output: problem
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 1
+eval_max_new_tokens: 128
+eval_steps: 5
+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: 4
+hub_model_id: besimray/miner1_60c4f9de-24ff-4eeb-a041-3c142f4f4888_1731086176
+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: 2
+mlflow_experiment_name: /tmp/MATH-Hard_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 4
+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: '2024-11-08T17:16:16.217205'
+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: 60c4f9de-24ff-4eeb-a041-3c142f4f4888
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# miner1_60c4f9de-24ff-4eeb-a041-3c142f4f4888_1731086176
+
+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: 0.8877
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.7576        | 0.0024 | 1    | 1.4666          |
+| 1.191         | 0.0119 | 5    | 1.4214          |
+| 0.4449        | 0.0239 | 10   | 1.1578          |
+| 1.6707        | 0.0358 | 15   | 1.0529          |
+| 0.9342        | 0.0477 | 20   | 1.0087          |
+| 1.1447        | 0.0597 | 25   | 0.9941          |
+| 1.331         | 0.0716 | 30   | 0.9711          |
+| 0.9763        | 0.0835 | 35   | 0.9544          |
+| 0.6841        | 0.0955 | 40   | 0.9494          |
+| 0.7273        | 0.1074 | 45   | 0.9417          |
+| 0.766         | 0.1193 | 50   | 0.9387          |
+| 0.9841        | 0.1313 | 55   | 0.9331          |
+| 0.8733        | 0.1432 | 60   | 0.9313          |
+| 0.64          | 0.1551 | 65   | 0.9237          |
+| 1.3638        | 0.1671 | 70   | 0.9212          |
+| 0.8958        | 0.1790 | 75   | 0.9195          |
+| 0.8923        | 0.1909 | 80   | 0.9134          |
+| 1.1555        | 0.2029 | 85   | 0.9122          |
+| 0.7069        | 0.2148 | 90   | 0.9102          |
+| 0.9398        | 0.2267 | 95   | 0.9005          |
+| 1.1527        | 0.2387 | 100  | 0.8966          |
+| 1.0022        | 0.2506 | 105  | 0.8951          |
+| 0.7001        | 0.2625 | 110  | 0.8915          |
+| 0.6991        | 0.2745 | 115  | 0.8872          |
+| 1.1245        | 0.2864 | 120  | 0.8851          |
+| 1.0224        | 0.2983 | 125  | 0.8877          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.1
+- Pytorch 2.3.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.3

adapter_model.bin

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