End of training

README.md

@@ -12,101 +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: oopsung/llama2-7b-n-ox-test-v1
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - a10944e24be9798f_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/a10944e24be9798f_train_data.json
-  type:
-    field_input: ext
-    field_instruction: lang
-    field_output: content
-    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: 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: JacksonBrune/3a76182c-7b6a-492e-aac1-8e64fbfd1bae
-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: 9790
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/a10944e24be9798f_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: 95cee0c2-a37b-4f5c-9356-3b06ad61ee51
-wandb_project: SN56-18
-wandb_run: your_name
-wandb_runid: 95cee0c2-a37b-4f5c-9356-3b06ad61ee51
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 3a76182c-7b6a-492e-aac1-8e64fbfd1bae
 
@@ -126,48 +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: 9790
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0001 | 1    | 3.2588          |
-| 0.7556        | 0.0305 | 500  | 0.8676          |
-| 0.7014        | 0.0610 | 1000 | 0.7413          |
-| 0.6352        | 0.0915 | 1500 | 0.7339          |
-| 0.6421        | 0.1220 | 2000 | 0.6719          |
-| 0.6215        | 0.1525 | 2500 | 0.6362          |
-| 0.5851        | 0.1831 | 3000 | 0.6224          |
-| 0.5744        | 0.2136 | 3500 | 0.6228          |
-| 0.5853        | 0.2441 | 4000 | 0.5997          |
-| 0.5662        | 0.2746 | 4500 | 0.5776          |
-| 0.5372        | 0.3051 | 5000 | 0.5740          |
-| 0.5757        | 0.3356 | 5500 | 0.5618          |
-| 0.533         | 0.3661 | 6000 | 0.5528          |
-| 0.5314        | 0.3966 | 6500 | 0.5450          |
-| 0.5243        | 0.4271 | 7000 | 0.5376          |
-| 0.5303        | 0.4576 | 7500 | 0.5464          |
-| 0.5354        | 0.4881 | 8000 | 0.5301          |
-| 0.4844        | 0.5186 | 8500 | 0.5285          |
-| 0.5098        | 0.5492 | 9000 | 0.5240          |
-| 0.5032        | 0.5797 | 9500 | 0.5202          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2