End of training

README.md

@@ -13,105 +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: echarlaix/tiny-random-PhiForCausalLM
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - b8d5a1b8325b7097_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/b8d5a1b8325b7097_train_data.json
-  type:
-    field_input: source
-    field_instruction: prompt_type
-    field_output: input
-    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: kostiantynk-out/5fca7328-f0fd-42f4-8487-d89b9cef1f1c
-hub_repo: null
-hub_strategy: end
-hub_token: null
-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: 12000
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/b8d5a1b8325b7097_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: <|endoftext|>
-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: fe22c41a-675f-47c6-8a0c-7298fb167991
-wandb_project: SN56-1
-wandb_run: your_name
-wandb_runid: fe22c41a-675f-47c6-8a0c-7298fb167991
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 5fca7328-f0fd-42f4-8487-d89b9cef1f1c
 
@@ -131,53 +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: 12000
-
-### Training results
-
-| Training Loss | Epoch  | Step  | Validation Loss |
-|:-------------:|:------:|:-----:|:---------------:|
-| No log        | 0.0001 | 1     | 6.9286          |
-| 6.8271        | 0.0313 | 500   | 6.8245          |
-| 6.8167        | 0.0626 | 1000  | 6.8109          |
-| 6.8076        | 0.0938 | 1500  | 6.8028          |
-| 6.8062        | 0.1251 | 2000  | 6.7968          |
-| 6.8029        | 0.1564 | 2500  | 6.7923          |
-| 6.7945        | 0.1877 | 3000  | 6.7892          |
-| 6.7977        | 0.2190 | 3500  | 6.7867          |
-| 6.7924        | 0.2502 | 4000  | 6.7847          |
-| 6.7918        | 0.2815 | 4500  | 6.7829          |
-| 6.7951        | 0.3128 | 5000  | 6.7813          |
-| 6.7901        | 0.3441 | 5500  | 6.7801          |
-| 6.787         | 0.3754 | 6000  | 6.7787          |
-| 6.7874        | 0.4067 | 6500  | 6.7777          |
-| 6.787         | 0.4379 | 7000  | 6.7768          |
-| 6.7884        | 0.4692 | 7500  | 6.7759          |
-| 6.7849        | 0.5005 | 8000  | 6.7751          |
-| 6.7858        | 0.5318 | 8500  | 6.7742          |
-| 6.7842        | 0.5631 | 9000  | 6.7736          |
-| 6.7845        | 0.5943 | 9500  | 6.7730          |
-| 6.7841        | 0.6256 | 10000 | 6.7724          |
-| 6.7845        | 0.6569 | 10500 | 6.7718          |
-| 6.7807        | 0.6882 | 11000 | 6.7713          |
-| 6.7821        | 0.7195 | 11500 | 6.7708          |
-| 6.7838        | 0.7507 | 12000 | 6.7704          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2