End of training

README.md

@@ -12,102 +12,6 @@ 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: NousResearch/CodeLlama-7b-hf
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - 3eeea2777a8212e7_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/3eeea2777a8212e7_train_data.json
-  type:
-    field_instruction: instruction
-    field_output: response
-    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: 500
-eval_table_size: null
-evals_per_epoch: null
-flash_attention: false
-fp16: false
-fsdp: null
-fsdp_config: null
-gradient_accumulation_steps: 4
-gradient_checkpointing: false
-group_by_length: true
-hub_model_id: JacksonBrune/e74ef115-45a2-4b26-acc4-12f5f82febda
-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: 6107
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/3eeea2777a8212e7_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
-special_tokens:
-  pad_token: </s>
-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: 1cf249aa-30aa-4b8c-84ee-a1b5a0ed3381
-wandb_project: SN56-18
-wandb_run: your_name
-wandb_runid: 1cf249aa-30aa-4b8c-84ee-a1b5a0ed3381
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # e74ef115-45a2-4b26-acc4-12f5f82febda
 
@@ -127,41 +31,6 @@ 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: 6107
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0001 | 1    | 1.2326          |
-| 3.355         | 0.0422 | 500  | 0.8496          |
-| 3.1048        | 0.0843 | 1000 | 0.7979          |
-| 2.9434        | 0.1265 | 1500 | 0.7702          |
-| 2.9292        | 0.1687 | 2000 | 0.7517          |
-| 2.919         | 0.2108 | 2500 | 0.7378          |
-| 2.8508        | 0.2530 | 3000 | 0.7243          |
-| 2.7945        | 0.2952 | 3500 | 0.7154          |
-| 2.8263        | 0.3373 | 4000 | 0.7043          |
-| 2.8036        | 0.3795 | 4500 | 0.7003          |
-| 2.696         | 0.4217 | 5000 | 0.6930          |
-| 2.6819        | 0.4639 | 5500 | 0.6876          |
-| 2.6726        | 0.5060 | 6000 | 0.6819          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2