End of training

README.md

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+---
+library_name: peft
+license: llama3.1
+base_model: unsloth/Llama-3.1-Storm-8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 8b6619f1-e8e2-4475-a003-33211e86f690
+  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-3.1-Storm-8B
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - b51894bc358e69ef_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/b51894bc358e69ef_train_data.json
+  type:
+    field_instruction: question_en
+    field_output: chosen_en
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 30
+eval_max_new_tokens: 128
+eval_steps: 50
+eval_table_size: null
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 16
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Romain-XV/8b6619f1-e8e2-4475-a003-33211e86f690
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: true
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+lr_scheduler: cosine
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/b51894bc358e69ef_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 2
+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: 100
+sequence_len: 2048
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 80865761-d38a-4c48-9ea1-fb8848e26565
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 80865761-d38a-4c48-9ea1-fb8848e26565
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 8b6619f1-e8e2-4475-a003-33211e86f690
+
+This model is a fine-tuned version of [unsloth/Llama-3.1-Storm-8B](https://huggingface.co/unsloth/Llama-3.1-Storm-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1177
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- 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
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.0186        | 0.0008 | 1    | 2.0494          |
+| 1.4436        | 0.0406 | 50   | 1.3902          |
+| 1.2774        | 0.0812 | 100  | 1.3402          |
+| 1.3279        | 0.1218 | 150  | 1.3092          |
+| 1.2515        | 0.1625 | 200  | 1.2914          |
+| 1.2672        | 0.2031 | 250  | 1.2785          |
+| 1.2416        | 0.2437 | 300  | 1.2647          |
+| 1.2159        | 0.2843 | 350  | 1.2555          |
+| 1.1702        | 0.3249 | 400  | 1.2434          |
+| 1.2178        | 0.3655 | 450  | 1.2364          |
+| 1.3226        | 0.4062 | 500  | 1.2286          |
+| 1.1198        | 0.4468 | 550  | 1.2208          |
+| 1.2484        | 0.4874 | 600  | 1.2148          |
+| 1.1048        | 0.5280 | 650  | 1.2099          |
+| 1.2055        | 0.5686 | 700  | 1.2041          |
+| 1.219         | 0.6092 | 750  | 1.1982          |
+| 1.2205        | 0.6498 | 800  | 1.1918          |
+| 1.275         | 0.6905 | 850  | 1.1856          |
+| 1.1738        | 0.7311 | 900  | 1.1803          |
+| 1.1674        | 0.7717 | 950  | 1.1752          |
+| 1.1784        | 0.8123 | 1000 | 1.1705          |
+| 1.1904        | 0.8529 | 1050 | 1.1673          |
+| 1.1293        | 0.8935 | 1100 | 1.1626          |
+| 1.1344        | 0.9342 | 1150 | 1.1571          |
+| 1.1763        | 0.9748 | 1200 | 1.1534          |
+| 1.0566        | 1.0154 | 1250 | 1.1584          |
+| 1.0529        | 1.0560 | 1300 | 1.1588          |
+| 1.1357        | 1.0966 | 1350 | 1.1547          |
+| 1.0739        | 1.1372 | 1400 | 1.1519          |
+| 0.9531        | 1.1778 | 1450 | 1.1495          |
+| 1.0049        | 1.2185 | 1500 | 1.1456          |
+| 0.9675        | 1.2591 | 1550 | 1.1431          |
+| 0.9961        | 1.2997 | 1600 | 1.1408          |
+| 0.9481        | 1.3403 | 1650 | 1.1355          |
+| 0.9777        | 1.3809 | 1700 | 1.1339          |
+| 1.031         | 1.4215 | 1750 | 1.1327          |
+| 1.0313        | 1.4622 | 1800 | 1.1315          |
+| 0.932         | 1.5028 | 1850 | 1.1272          |
+| 1.003         | 1.5434 | 1900 | 1.1260          |
+| 1.0032        | 1.5840 | 1950 | 1.1236          |
+| 0.913         | 1.6246 | 2000 | 1.1231          |
+| 0.9941        | 1.6652 | 2050 | 1.1222          |
+| 0.9415        | 1.7058 | 2100 | 1.1204          |
+| 1.0222        | 1.7465 | 2150 | 1.1188          |
+| 0.9803        | 1.7871 | 2200 | 1.1183          |
+| 0.9454        | 1.8277 | 2250 | 1.1181          |
+| 0.988         | 1.8683 | 2300 | 1.1182          |
+| 0.9538        | 1.9089 | 2350 | 1.1179          |
+| 0.9843        | 1.9495 | 2400 | 1.1179          |
+| 0.8832        | 1.9902 | 2450 | 1.1177          |
+
+
+### 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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