End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: unsloth/SmolLM-135M
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 7f8bab48-3ea0-4b73-b5ea-dfe9183daaf2
+  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-135M
+bf16: true
+chat_template: llama3
+dataloader_num_workers: 24
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 5b80cb3e3f6cb6d6_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/5b80cb3e3f6cb6d6_train_data.json
+  type:
+    field_input: outline
+    field_instruction: topic
+    field_output: markdown
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: auto
+do_eval: true
+early_stopping_patience: 3
+eval_batch_size: 2
+eval_max_new_tokens: 128
+eval_steps: 150
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: false
+group_by_length: true
+hub_model_id: nttx/7f8bab48-3ea0-4b73-b5ea-dfe9183daaf2
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 50
+lora_alpha: 64
+lora_dropout: 0.05
+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: 3000
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/5b80cb3e3f6cb6d6_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 10
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  adam_epsilon: 1e-8
+optimizer: adamw_torch_fused
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 150
+saves_per_epoch: null
+sequence_len: 512
+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: f8675f5c-3a6e-463d-b56c-c54c0872a08f
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: f8675f5c-3a6e-463d-b56c-c54c0872a08f
+warmup_steps: 50
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 7f8bab48-3ea0-4b73-b5ea-dfe9183daaf2
+
+This model is a fine-tuned version of [unsloth/SmolLM-135M](https://huggingface.co/unsloth/SmolLM-135M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7823
+
+## 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: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.999,adam_epsilon=1e-8
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- training_steps: 3000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0015 | 1    | 1.1010          |
+| 0.9411        | 0.2226 | 150  | 0.9269          |
+| 0.9052        | 0.4452 | 300  | 0.8922          |
+| 0.8705        | 0.6678 | 450  | 0.8678          |
+| 0.8544        | 0.8904 | 600  | 0.8514          |
+| 0.8167        | 1.1132 | 750  | 0.8398          |
+| 0.7961        | 1.3357 | 900  | 0.8281          |
+| 0.7965        | 1.5583 | 1050 | 0.8186          |
+| 0.7986        | 1.7809 | 1200 | 0.8100          |
+| 0.7548        | 2.0037 | 1350 | 0.8026          |
+| 0.7409        | 2.2263 | 1500 | 0.7998          |
+| 0.7508        | 2.4489 | 1650 | 0.7954          |
+| 0.7606        | 2.6715 | 1800 | 0.7908          |
+| 0.7366        | 2.8941 | 1950 | 0.7873          |
+| 0.7173        | 3.1169 | 2100 | 0.7872          |
+| 0.7294        | 3.3395 | 2250 | 0.7847          |
+| 0.7282        | 3.5620 | 2400 | 0.7835          |
+| 0.72          | 3.7846 | 2550 | 0.7826          |
+| 0.7085        | 4.0074 | 2700 | 0.7819          |
+| 0.7127        | 4.2300 | 2850 | 0.7822          |
+| 0.7119        | 4.4526 | 3000 | 0.7823          |
+
+
+### 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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