End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 096191f1-d59a-49de-8e96-b6308fd9b9ec
+  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: `0.5.2`
+```yaml
+adapter: lora
+auto_find_batch_size: true
+base_model: Qwen/Qwen2.5-0.5B
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 736ee44025b7162d_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/736ee44025b7162d_train_data.json
+  type:
+    field_instruction: question
+    field_output: answer
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: /workspace/axolotl/configs/deepspeed_stage2.json
+early_stopping: true
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_sample_packing: false
+eval_steps: 10
+eval_strategy: steps
+eval_table_size: null
+flash_attention: true
+fp16: false
+gpu_memory_limit: 80GiB
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+greater_is_better: false
+group_by_length: true
+hub_model_id: PhoenixB/096191f1-d59a-49de-8e96-b6308fd9b9ec
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 1e-4
+liger_fused_linear_cross_entropy: true
+liger_glu_activation: true
+liger_layer_norm: true
+liger_rms_norm: true
+liger_rope: true
+load_best_model_at_end: true
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 5
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lr_scheduler: cosine
+max_steps: 150
+metric_for_best_model: loss
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/736ee44025b7162d_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_torch_fused
+output_dir: miner_id_24
+pad_to_sequence_len: true
+plugins:
+- axolotl.integrations.liger.LigerPlugin
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 20
+sequence_len: 8196
+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: d7d870cb-65a5-4642-99d0-0951155c2aca
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: d7d870cb-65a5-4642-99d0-0951155c2aca
+warmup_steps: 20
+weight_decay: 0.0
+
+```
+
+</details><br>
+
+# 096191f1-d59a-49de-8e96-b6308fd9b9ec
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6454
+
+## 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: 0.0001
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 20
+- training_steps: 150
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0012 | 1    | 3.5614          |
+| 2.9921        | 0.0120 | 10   | 3.5155          |
+| 3.3175        | 0.0241 | 20   | 3.1652          |
+| 2.5308        | 0.0361 | 30   | 2.8869          |
+| 2.672         | 0.0481 | 40   | 2.7799          |
+| 3.1553        | 0.0602 | 50   | 2.7578          |
+| 2.4484        | 0.0722 | 60   | 2.7158          |
+| 2.6439        | 0.0842 | 70   | 2.6884          |
+| 2.316         | 0.0962 | 80   | 2.6824          |
+| 2.6676        | 0.1083 | 90   | 2.6649          |
+| 3.0882        | 0.1203 | 100  | 2.6594          |
+| 2.2968        | 0.1323 | 110  | 2.6599          |
+| 2.5852        | 0.1444 | 120  | 2.6410          |
+| 2.3268        | 0.1564 | 130  | 2.6521          |
+| 2.6951        | 0.1684 | 140  | 2.6457          |
+| 2.9319        | 0.1805 | 150  | 2.6454          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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