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/gemma-2-2b-it
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - 6398abb0675e226f_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/6398abb0675e226f_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
-device_map: auto
-do_eval: true
-early_stopping_patience: 2
-eval_batch_size: 4
-eval_max_new_tokens: 128
-eval_steps: 500
-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: havinash-ai/8a2cb479-c2de-4f1f-9d80-ef41fb2f5540
-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: 14958
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/6398abb0675e226f_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: 500
-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: efae492f-8375-4d93-9ba2-6cfbed385eb0
-wandb_project: SN56-2
-wandb_run: your_name
-wandb_runid: efae492f-8375-4d93-9ba2-6cfbed385eb0
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 8a2cb479-c2de-4f1f-9d80-ef41fb2f5540
 
@@ -127,53 +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: 14958
-
-### Training results
-
-| Training Loss | Epoch  | Step  | Validation Loss |
-|:-------------:|:------:|:-----:|:---------------:|
-| No log        | 0.0001 | 1     | 3.1976          |
-| 2.3681        | 0.0408 | 500   | 2.3763          |
-| 2.2277        | 0.0816 | 1000  | 2.2901          |
-| 2.197         | 0.1224 | 1500  | 2.2565          |
-| 2.1751        | 0.1632 | 2000  | 2.2319          |
-| 2.1841        | 0.2040 | 2500  | 2.2081          |
-| 2.1701        | 0.2448 | 3000  | 2.1779          |
-| 2.1916        | 0.2856 | 3500  | 2.1787          |
-| 2.1493        | 0.3264 | 4000  | 2.1669          |
-| 2.1501        | 0.3672 | 4500  | 2.1556          |
-| 2.1522        | 0.4080 | 5000  | 2.1542          |
-| 2.1288        | 0.4488 | 5500  | 2.1552          |
-| 2.1445        | 0.4896 | 6000  | 2.1419          |
-| 2.116         | 0.5304 | 6500  | 2.1499          |
-| 2.1529        | 0.5712 | 7000  | 2.1373          |
-| 2.1125        | 0.6120 | 7500  | 2.1320          |
-| 2.1419        | 0.6528 | 8000  | 2.1351          |
-| 2.1473        | 0.6936 | 8500  | 2.1271          |
-| 2.1375        | 0.7344 | 9000  | 2.1262          |
-| 2.1514        | 0.7752 | 9500  | 2.1234          |
-| 2.0869        | 0.8160 | 10000 | 2.1224          |
-| 2.1085        | 0.8568 | 10500 | 2.1288          |
-| 2.1218        | 0.8976 | 11000 | 2.1132          |
-| 2.072         | 0.9384 | 11500 | 2.1204          |
-| 2.1475        | 0.9792 | 12000 | 2.1191          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2