End of training

README.md

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+---
+library_name: peft
+base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 90dbfeae-95d3-47a2-a988-98c5906bae01
+  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: HuggingFaceH4/tiny-random-LlamaForCausalLM
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 0e2a206b6cbe63d9_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/0e2a206b6cbe63d9_train_data.json
+  type:
+    field_instruction: prompt
+    field_output: chosen
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+device_map:
+  ? ''
+  : 0,1,2,3,4,5,6,7
+early_stopping_patience: 2
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+flash_attention: true
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Alphatao/90dbfeae-95d3-47a2-a988-98c5906bae01
+hub_repo: null
+hub_strategy: null
+hub_token: null
+learning_rate: 0.0002
+load_best_model_at_end: true
+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: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+- o_proj
+- down_proj
+- up_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 3600
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/0e2a206b6cbe63d9_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
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.03361547925588775
+wandb_entity: null
+wandb_mode: online
+wandb_name: 65ecc54e-1ce1-46d0-8d8f-a58fd50f5f0f
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 65ecc54e-1ce1-46d0-8d8f-a58fd50f5f0f
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 90dbfeae-95d3-47a2-a988-98c5906bae01
+
+This model is a fine-tuned version of [HuggingFaceH4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceH4/tiny-random-LlamaForCausalLM) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.3113
+
+## 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: 8
+- total_train_batch_size: 32
+- 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: 3600
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 10.3673       | 0.0002 | 1    | 10.3688         |
+| 10.3363       | 0.0223 | 100  | 10.3367         |
+| 10.3308       | 0.0445 | 200  | 10.3281         |
+| 10.324        | 0.0668 | 300  | 10.3221         |
+| 10.3186       | 0.0890 | 400  | 10.3186         |
+| 10.3196       | 0.1113 | 500  | 10.3180         |
+| 10.3207       | 0.1336 | 600  | 10.3175         |
+| 10.321        | 0.1558 | 700  | 10.3171         |
+| 10.3129       | 0.1781 | 800  | 10.3167         |
+| 10.3111       | 0.2004 | 900  | 10.3158         |
+| 10.3192       | 0.2226 | 1000 | 10.3152         |
+| 10.3219       | 0.2449 | 1100 | 10.3147         |
+| 10.3197       | 0.2671 | 1200 | 10.3142         |
+| 10.3143       | 0.2894 | 1300 | 10.3139         |
+| 10.3172       | 0.3117 | 1400 | 10.3135         |
+| 10.315        | 0.3339 | 1500 | 10.3132         |
+| 10.3181       | 0.3562 | 1600 | 10.3128         |
+| 10.3104       | 0.3785 | 1700 | 10.3125         |
+| 10.3086       | 0.4007 | 1800 | 10.3123         |
+| 10.3091       | 0.4230 | 1900 | 10.3121         |
+| 10.3141       | 0.4452 | 2000 | 10.3119         |
+| 10.314        | 0.4675 | 2100 | 10.3118         |
+| 10.3158       | 0.4898 | 2200 | 10.3117         |
+| 10.3147       | 0.5120 | 2300 | 10.3117         |
+| 10.3192       | 0.5343 | 2400 | 10.3116         |
+| 10.3062       | 0.5565 | 2500 | 10.3115         |
+| 10.3046       | 0.5788 | 2600 | 10.3115         |
+| 10.3184       | 0.6011 | 2700 | 10.3114         |
+| 10.3104       | 0.6233 | 2800 | 10.3114         |
+| 10.3105       | 0.6456 | 2900 | 10.3114         |
+| 10.3174       | 0.6679 | 3000 | 10.3114         |
+| 10.3149       | 0.6901 | 3100 | 10.3113         |
+| 10.3201       | 0.7124 | 3200 | 10.3113         |
+| 10.3111       | 0.7346 | 3300 | 10.3113         |
+| 10.3115       | 0.7569 | 3400 | 10.3113         |
+| 10.3168       | 0.7792 | 3500 | 10.3113         |
+| 10.3123       | 0.8014 | 3600 | 10.3113         |
+
+
+### 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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