End of training

README.md

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+---
+library_name: peft
+license: other
+base_model: huggyllama/llama-7b
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: d3f85da4-8048-47c8-ad48-5fbd9a8a70fc
+  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: qlora
+auto_resume_from_checkpoints: true
+base_model: huggyllama/llama-7b
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+dataset_processes: 6
+datasets:
+- data_files:
+  - 2def6f0bc8094c63_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/2def6f0bc8094c63_train_data.json
+  type:
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 200
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: error577/d3f85da4-8048-47c8-ad48-5fbd9a8a70fc
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 64
+lora_dropout: 0.1
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: null
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/2def6f0bc8094c63_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_torch_4bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 200
+sequence_len: 512
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.005
+wandb_entity: null
+wandb_mode: online
+wandb_name: 776f445d-12cf-45fd-afe3-789f62d99645
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 776f445d-12cf-45fd-afe3-789f62d99645
+warmup_steps: 30
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# d3f85da4-8048-47c8-ad48-5fbd9a8a70fc
+
+This model is a fine-tuned version of [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3508
+
+## 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_TORCH_4BIT 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: 30
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7775        | 0.0001 | 1    | 0.8330          |
+| 0.5424        | 0.0156 | 200  | 0.4220          |
+| 0.612         | 0.0312 | 400  | 0.4068          |
+| 0.3191        | 0.0467 | 600  | 0.4012          |
+| 0.5935        | 0.0623 | 800  | 0.3815          |
+| 0.4242        | 0.0779 | 1000 | 0.3739          |
+| 0.4253        | 0.0935 | 1200 | 0.3748          |
+| 0.4555        | 0.1091 | 1400 | 0.3690          |
+| 0.2908        | 0.1247 | 1600 | 0.3673          |
+| 0.3271        | 0.1402 | 1800 | 0.3647          |
+| 0.3553        | 0.1558 | 2000 | 0.3655          |
+| 0.274         | 0.1714 | 2200 | 0.3612          |
+| 0.3973        | 0.1870 | 2400 | 0.3605          |
+| 0.2867        | 0.2026 | 2600 | 0.3523          |
+| 0.2378        | 0.2181 | 2800 | 0.3508          |
+| 0.5015        | 0.2337 | 3000 | 0.3513          |
+| 0.4597        | 0.2493 | 3200 | 0.3510          |
+| 0.3814        | 0.2649 | 3400 | 0.3508          |
+
+
+### 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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