End of training

README.md

@@ -13,101 +13,6 @@ model-index:
 <!-- 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
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - b0716d6a34649f7e_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/b0716d6a34649f7e_train_data.json
-  type:
-    field_input: original_question
-    field_instruction: question
-    field_output: answer
-    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: 2
-eval_batch_size: 4
-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: 4
-gradient_checkpointing: false
-group_by_length: true
-hub_model_id: robiulawaldev/723c0223-92be-4d06-808c-d266c1741a01
-hub_strategy: end
-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: constant
-max_grad_norm: 1.0
-max_memory:
-  0: 75GB
-max_steps: 8956
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/b0716d6a34649f7e_train_data.json
-model_type: AutoModelForCausalLM
-num_epochs: 10
-optim_args:
-  adam_beta1: 0.9
-  adam_beta2: 0.95
-  adam_epsilon: 1e-5
-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
-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: de3b3f91-26e7-4857-bd10-bc8103e40d11
-wandb_project: SN56-36
-wandb_run: your_name
-wandb_runid: de3b3f91-26e7-4857-bd10-bc8103e40d11
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 723c0223-92be-4d06-808c-d266c1741a01
 
@@ -127,45 +32,6 @@ More information needed
 
 More information needed
 
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
-- lr_scheduler_type: constant
-- lr_scheduler_warmup_steps: 50
-- training_steps: 2672
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0037 | 1    | 1.5077          |
-| 0.6115        | 0.5613 | 150  | 0.4511          |
-| 0.2445        | 1.1225 | 300  | 0.1501          |
-| 0.1021        | 1.6838 | 450  | 0.0994          |
-| 0.069         | 2.2451 | 600  | 0.0761          |
-| 0.0637        | 2.8064 | 750  | 0.0730          |
-| 0.0564        | 3.3676 | 900  | 0.0721          |
-| 0.0552        | 3.9289 | 1050 | 0.0657          |
-| 0.05          | 4.4902 | 1200 | 0.0818          |
-| 0.0523        | 5.0514 | 1350 | 0.0637          |
-| 0.0417        | 5.6127 | 1500 | 0.0704          |
-| 0.0404        | 6.1740 | 1650 | 0.0615          |
-| 0.0356        | 6.7353 | 1800 | 0.0593          |
-| 0.0283        | 7.2965 | 1950 | 0.0584          |
-| 0.0309        | 7.8578 | 2100 | 0.0528          |
-| 0.0251        | 8.4191 | 2250 | 0.0642          |
-| 0.0239        | 8.9804 | 2400 | 0.0576          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2