End of training

README.md

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+---
+library_name: peft
+license: other
+base_model: Qwen/Qwen1.5-1.8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 82x707c1aa
+  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: Qwen/Qwen1.5-1.8B
+bf16: auto
+chat_template: llama3
+cosine_min_lr_ratio: 0.1
+data_processes: 16
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 6b6ae8715dcc47d7_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/6b6ae8715dcc47d7_train_data.json
+  type:
+    field_input: input
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: '{'''':torch.cuda.current_device()}'
+do_eval: true
+early_stopping_patience: 80
+eval_batch_size: 1
+eval_sample_packing: false
+eval_steps: 25
+evaluation_strategy: steps
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 32
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: magatex/82x707c1aa
+hub_repo: stevemonite
+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: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- v_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_memory:
+  0: 70GiB
+max_steps: 592
+micro_batch_size: 1
+mlflow_experiment_name: /tmp/6b6ae8715dcc47d7_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.95
+  adam_epsilon: 1e-5
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 50
+save_strategy: steps
+sequence_len: 1028
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+torch_compile: false
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 50
+wandb_entity: null
+wandb_mode: online
+wandb_project: Public_TuningSN
+wandb_run: miner_id_24
+wandb_runid: x707c1aa
+warmup_raio: 0.03
+warmup_ratio: 0.04
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 82x707c1aa
+
+This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4941
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 23
+- training_steps: 592
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.1301        | 0.0022 | 1    | 3.4774          |
+| 2.2089        | 0.0542 | 25   | 1.7670          |
+| 0.8326        | 0.1084 | 50   | 1.9671          |
+| 2.2402        | 0.1625 | 75   | 1.6525          |
+| 1.0248        | 0.2167 | 100  | 1.9612          |
+| 1.8542        | 0.2709 | 125  | 1.6075          |
+| 0.8684        | 0.3251 | 150  | 1.7878          |
+| 2.1503        | 0.3793 | 175  | 1.5795          |
+| 0.8176        | 0.4335 | 200  | 1.6965          |
+| 1.9684        | 0.4876 | 225  | 1.5500          |
+| 0.8068        | 0.5418 | 250  | 1.6397          |
+| 1.9919        | 0.5960 | 275  | 1.5322          |
+| 0.7889        | 0.6502 | 300  | 1.5637          |
+| 2.029         | 0.7044 | 325  | 1.5151          |
+| 0.7714        | 0.7586 | 350  | 1.5427          |
+| 2.0159        | 0.8127 | 375  | 1.5237          |
+| 0.8075        | 0.8669 | 400  | 1.5138          |
+| 1.9422        | 0.9211 | 425  | 1.5021          |
+| 0.7947        | 0.9753 | 450  | 1.4987          |
+| 2.1128        | 1.0295 | 475  | 1.5002          |
+| 1.7543        | 1.0836 | 500  | 1.4959          |
+| 2.0353        | 1.1378 | 525  | 1.4998          |
+| 1.6556        | 1.1920 | 550  | 1.4932          |
+| 1.7618        | 1.2462 | 575  | 1.4941          |
+
+
+### 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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