End of training

README.md

@@ -13,100 +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/gemma-1.1-2b-it
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - 6dd181807d2a0b4b_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/6dd181807d2a0b4b_train_data.json
-  type:
-    field_instruction: user_prompt
-    field_output: resp
-    format: '{instruction}'
-    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: 4
-eval_max_new_tokens: 128
-eval_steps: 300
-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: daniel40/79f567b3-103b-415f-b18e-90b044dabb58
-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: 20984
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/6dd181807d2a0b4b_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: 300
-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: 26f5aa20-ade1-4294-92fd-4edb185df7e3
-wandb_project: SN56-31
-wandb_run: your_name
-wandb_runid: 26f5aa20-ade1-4294-92fd-4edb185df7e3
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 79f567b3-103b-415f-b18e-90b044dabb58
 
@@ -126,53 +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: 20984
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0005 | 1    | 1.2331          |
-| 0.3278        | 0.1388 | 300  | 0.4033          |
-| 0.3075        | 0.2777 | 600  | 0.3545          |
-| 0.3145        | 0.4165 | 900  | 0.3403          |
-| 0.2983        | 0.5554 | 1200 | 0.3407          |
-| 0.3042        | 0.6942 | 1500 | 0.3202          |
-| 0.2806        | 0.8330 | 1800 | 0.3352          |
-| 0.2826        | 0.9719 | 2100 | 0.3138          |
-| 0.2614        | 1.1107 | 2400 | 0.2942          |
-| 0.2575        | 1.2496 | 2700 | 0.2927          |
-| 0.2633        | 1.3884 | 3000 | 0.2853          |
-| 0.2666        | 1.5272 | 3300 | 0.2907          |
-| 0.264         | 1.6661 | 3600 | 0.2895          |
-| 0.2648        | 1.8049 | 3900 | 0.2776          |
-| 0.2567        | 1.9438 | 4200 | 0.2756          |
-| 0.2289        | 2.0826 | 4500 | 0.2692          |
-| 0.2378        | 2.2215 | 4800 | 0.2704          |
-| 0.2396        | 2.3603 | 5100 | 0.2663          |
-| 0.2417        | 2.4991 | 5400 | 0.2637          |
-| 0.2419        | 2.6380 | 5700 | 0.2681          |
-| 0.2407        | 2.7768 | 6000 | 0.2604          |
-| 0.2459        | 2.9157 | 6300 | 0.2561          |
-| 0.207         | 3.0545 | 6600 | 0.2649          |
-| 0.2284        | 3.1933 | 6900 | 0.2741          |
-| 0.2251        | 3.3322 | 7200 | 0.2703          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2