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: JackFram/llama-160m
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - d04bc9db60e8557f_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/d04bc9db60e8557f_train_data.json
-  type:
-    field_input: proposition
-    field_instruction: instruction
-    field_output: response
-    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/d9d1b689-c316-44ff-82bb-53e2fb18eae1
-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/d04bc9db60e8557f_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: c5bb5c8a-6bbc-451a-b295-3f3c80938098
-wandb_project: SN56-1
-wandb_run: your_name
-wandb_runid: c5bb5c8a-6bbc-451a-b295-3f3c80938098
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # d9d1b689-c316-44ff-82bb-53e2fb18eae1
 
@@ -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        | 0.0002 | 1     | 2.2073          |
-| 1.3951        | 0.1045 | 500   | 1.4362          |
-| 1.2743        | 0.2089 | 1000  | 1.2983          |
-| 1.2296        | 0.3134 | 1500  | 1.2321          |
-| 1.1925        | 0.4178 | 2000  | 1.1866          |
-| 1.1488        | 0.5223 | 2500  | 1.1539          |
-| 1.1281        | 0.6267 | 3000  | 1.1276          |
-| 1.1198        | 0.7312 | 3500  | 1.1064          |
-| 1.0794        | 0.8356 | 4000  | 1.0935          |
-| 1.0767        | 0.9401 | 4500  | 1.0778          |
-| 0.9979        | 1.0446 | 5000  | 1.0736          |
-| 1.0122        | 1.1490 | 5500  | 1.0696          |
-| 0.9853        | 1.2535 | 6000  | 1.0538          |
-| 1.0231        | 1.3579 | 6500  | 1.0486          |
-| 1.0017        | 1.4624 | 7000  | 1.0357          |
-| 0.97          | 1.5668 | 7500  | 1.0298          |
-| 0.9608        | 1.6713 | 8000  | 1.0249          |
-| 0.9794        | 1.7757 | 8500  | 1.0149          |
-| 0.9805        | 1.8802 | 9000  | 1.0015          |
-| 0.9496        | 1.9846 | 9500  | 1.0031          |
-| 0.891         | 2.0891 | 10000 | 0.9884          |
-| 0.9081        | 2.1936 | 10500 | 0.9826          |
-| 0.9111        | 2.2980 | 11000 | 0.9808          |
-| 0.9207        | 2.4025 | 11500 | 0.9726          |
-| 0.8981        | 2.5069 | 12000 | 0.9685          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2