End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-1.5B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 12b3db6d-6d65-435d-8a25-2864637b169b
+  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/Qwen2.5-1.5B
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 5f268db15ffc7212_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/5f268db15ffc7212_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
+early_stopping_patience: 4
+eval_max_new_tokens: 128
+eval_steps: 150
+eval_table_size: null
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Romain-XV/12b3db6d-6d65-435d-8a25-2864637b169b
+hub_repo: null
+hub_strategy: checkpoint
+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: 128
+lora_dropout: 0.3
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 5040
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/5f268db15ffc7212_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+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: 150
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.04469673266884191
+wandb_entity: null
+wandb_mode: online
+wandb_name: e613d36b-a8a6-4953-9f33-ddca7d87fc98
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: e613d36b-a8a6-4953-9f33-ddca7d87fc98
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 12b3db6d-6d65-435d-8a25-2864637b169b
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9663
+
+## 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_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: 5040
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.526         | 0.0001 | 1    | 2.4610          |
+| 2.0932        | 0.0112 | 150  | 2.3241          |
+| 1.9923        | 0.0225 | 300  | 2.2711          |
+| 2.5518        | 0.0337 | 450  | 2.2464          |
+| 2.2405        | 0.0449 | 600  | 2.2287          |
+| 2.7935        | 0.0561 | 750  | 2.1983          |
+| 2.1035        | 0.0674 | 900  | 2.1862          |
+| 2.3212        | 0.0786 | 1050 | 2.1668          |
+| 1.9817        | 0.0898 | 1200 | 2.1552          |
+| 2.1509        | 0.1011 | 1350 | 2.1452          |
+| 2.0084        | 0.1123 | 1500 | 2.1316          |
+| 1.9503        | 0.1235 | 1650 | 2.1120          |
+| 1.9088        | 0.1347 | 1800 | 2.0998          |
+| 2.4338        | 0.1460 | 1950 | 2.0879          |
+| 1.5782        | 0.1572 | 2100 | 2.0774          |
+| 2.451         | 0.1684 | 2250 | 2.0680          |
+| 2.1608        | 0.1797 | 2400 | 2.0558          |
+| 1.9455        | 0.1909 | 2550 | 2.0448          |
+| 1.9849        | 0.2021 | 2700 | 2.0360          |
+| 2.1229        | 0.2134 | 2850 | 2.0262          |
+| 2.0596        | 0.2246 | 3000 | 2.0166          |
+| 2.0005        | 0.2358 | 3150 | 2.0094          |
+| 2.5008        | 0.2470 | 3300 | 2.0030          |
+| 1.951         | 0.2583 | 3450 | 1.9947          |
+| 2.2078        | 0.2695 | 3600 | 1.9886          |
+| 2.0641        | 0.2807 | 3750 | 1.9838          |
+| 2.1594        | 0.2920 | 3900 | 1.9794          |
+| 2.405         | 0.3032 | 4050 | 1.9754          |
+| 1.5995        | 0.3144 | 4200 | 1.9723          |
+| 1.9719        | 0.3256 | 4350 | 1.9696          |
+| 1.6564        | 0.3369 | 4500 | 1.9680          |
+| 1.5252        | 0.3481 | 4650 | 1.9671          |
+| 1.5916        | 0.3593 | 4800 | 1.9666          |
+| 1.7533        | 0.3706 | 4950 | 1.9663          |
+
+
+### 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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