End of training

README.md

@@ -0,0 +1,191 @@
+---
+library_name: peft
+license: apache-2.0
+base_model: unsloth/SmolLM-360M-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 3b560dce-4b9a-4461-bec5-e809c217723b
+  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: unsloth/SmolLM-360M-Instruct
+bf16: auto
+chat_template: llama3
+dataloader_num_workers: 6
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 824ef92913906b02_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/824ef92913906b02_train_data.json
+  type:
+    field_input: gt_answer
+    field_instruction: question
+    field_output: answer
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 50
+eval_table_size: null
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+group_by_length: true
+hub_model_id: error577/3b560dce-4b9a-4461-bec5-e809c217723b
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: true
+local_rank: null
+logging_steps: 1
+lora_alpha: 16
+lora_dropout: 0.3
+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: 2000
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/824ef92913906b02_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 4
+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: 50
+sequence_len: 512
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.02
+wandb_entity: null
+wandb_mode: online
+wandb_name: edbc27c0-2567-4ef1-849f-694fac00cd13
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: edbc27c0-2567-4ef1-849f-694fac00cd13
+warmup_steps: 10
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 3b560dce-4b9a-4461-bec5-e809c217723b
+
+This model is a fine-tuned version of [unsloth/SmolLM-360M-Instruct](https://huggingface.co/unsloth/SmolLM-360M-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3736
+
+## 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: 2000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.6086        | 0.0001 | 1    | 0.8242          |
+| 0.6491        | 0.0069 | 50   | 0.5668          |
+| 0.4904        | 0.0137 | 100  | 0.5020          |
+| 0.4928        | 0.0206 | 150  | 0.4803          |
+| 0.3963        | 0.0275 | 200  | 0.4617          |
+| 0.4291        | 0.0343 | 250  | 0.4514          |
+| 0.4164        | 0.0412 | 300  | 0.4411          |
+| 0.4261        | 0.0481 | 350  | 0.4344          |
+| 0.4734        | 0.0549 | 400  | 0.4273          |
+| 0.4271        | 0.0618 | 450  | 0.4246          |
+| 0.3362        | 0.0687 | 500  | 0.4193          |
+| 0.3781        | 0.0755 | 550  | 0.4136          |
+| 0.4247        | 0.0824 | 600  | 0.4107          |
+| 0.3431        | 0.0893 | 650  | 0.4071          |
+| 0.3674        | 0.0961 | 700  | 0.4019          |
+| 0.4549        | 0.1030 | 750  | 0.4004          |
+| 0.4299        | 0.1098 | 800  | 0.3972          |
+| 0.3398        | 0.1167 | 850  | 0.3938          |
+| 0.4542        | 0.1236 | 900  | 0.3924          |
+| 0.301         | 0.1304 | 950  | 0.3908          |
+| 0.4517        | 0.1373 | 1000 | 0.3881          |
+| 0.4243        | 0.1442 | 1050 | 0.3865          |
+| 0.3469        | 0.1510 | 1100 | 0.3853          |
+| 0.3413        | 0.1579 | 1150 | 0.3834          |
+| 0.3609        | 0.1648 | 1200 | 0.3815          |
+| 0.3546        | 0.1716 | 1250 | 0.3813          |
+| 0.2967        | 0.1785 | 1300 | 0.3794          |
+| 0.3278        | 0.1854 | 1350 | 0.3783          |
+| 0.3304        | 0.1922 | 1400 | 0.3782          |
+| 0.2565        | 0.1991 | 1450 | 0.3774          |
+| 0.3721        | 0.2060 | 1500 | 0.3764          |
+| 0.4291        | 0.2128 | 1550 | 0.3754          |
+| 0.299         | 0.2197 | 1600 | 0.3757          |
+| 0.4525        | 0.2266 | 1650 | 0.3750          |
+| 0.3902        | 0.2334 | 1700 | 0.3747          |
+| 0.3118        | 0.2403 | 1750 | 0.3737          |
+| 0.3434        | 0.2472 | 1800 | 0.3747          |
+| 0.3902        | 0.2540 | 1850 | 0.3732          |
+| 0.3748        | 0.2609 | 1900 | 0.3742          |
+| 0.3463        | 0.2678 | 1950 | 0.3742          |
+| 0.3441        | 0.2746 | 2000 | 0.3736          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9cebad33e71e58911d2dd4556f9be415227df88d36f3b99794006e25867b4bb4
+size 69629450

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:04f0ffe434929d301fdbb4a477e60354c9ebe32f51f7b66c3b76af3239107135
+oid sha256:387db44b23b6080c0be6af8ac218c919c4603626b53b6d5b8fb25f82aafb24fd
 size 69527352