End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct
+model-index:
+- name: c354cfad-a96c-4b65-8473-d510ccc583de
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: lora
+base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct
+bf16: auto
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 62858cc902db5fd2_train_data.json
+  ds_type: json
+  format: custom
+  path: 62858cc902db5fd2_train_data.json
+  type:
+    field: null
+    field_input: rational_answer
+    field_instruction: question
+    field_output: answer
+    field_system: null
+    format: null
+    no_input_format: null
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 2
+flash_attention: null
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+group_by_length: false
+hub_model_id: taopanda-1/c354cfad-a96c-4b65-8473-d510ccc583de
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: true
+local_rank: null
+logging_steps: 1
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+micro_batch_size: 2
+model_type: AutoModelForCausalLM
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+output_dir: ./outputs/lora-out/taopanda-1_63243e7b-dede-4eb6-bd5d-ba472cf50fb9
+pad_to_sequence_len: null
+resume_from_checkpoint: null
+sample_packing: false
+saves_per_epoch: 1
+seed: 88883
+sequence_len: 2048
+special_tokens: null
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: fatcat87-taopanda
+wandb_log_model: null
+wandb_mode: online
+wandb_name: taopanda-1_63243e7b-dede-4eb6-bd5d-ba472cf50fb9
+wandb_project: subnet56
+wandb_runid: taopanda-1_63243e7b-dede-4eb6-bd5d-ba472cf50fb9
+wandb_watch: null
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fatcat87-taopanda/subnet56/runs/s6qogyxu)
+# c354cfad-a96c-4b65-8473-d510ccc583de
+
+This model is a fine-tuned version of [unsloth/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3973
+
+## 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: 88883
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1885        | 0.0046 | 1    | 1.1818          |
+| 0.3701        | 0.5    | 108  | 0.4069          |
+| 0.3867        | 1.0    | 216  | 0.3973          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.bin

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