End of training

README.md

@@ -13,100 +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: microsoft/Phi-3-mini-4k-instruct
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - 8b54a694ba612e8a_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/8b54a694ba612e8a_train_data.json
-  type:
-    field_instruction: dataset
-    field_output: context
-    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: true
-fp16: false
-fsdp: null
-fsdp_config: null
-gradient_accumulation_steps: 4
-gradient_checkpointing: false
-group_by_length: true
-hub_model_id: havinash-ai/4fb87af0-d81e-4201-90c9-00dbb6a98513
-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: 17913
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/8b54a694ba612e8a_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: ce3ac79f-e735-4be7-a402-a6baba9386ed
-wandb_project: SN56-2
-wandb_run: your_name
-wandb_runid: ce3ac79f-e735-4be7-a402-a6baba9386ed
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 4fb87af0-d81e-4201-90c9-00dbb6a98513
 
@@ -126,53 +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: 17913
-
-### Training results
-
-| Training Loss | Epoch  | Step  | Validation Loss |
-|:-------------:|:------:|:-----:|:---------------:|
-| No log        | 0.0001 | 1     | 1.9042          |
-| 4.157         | 0.0470 | 500   | 1.0766          |
-| 4.2048        | 0.0940 | 1000  | 1.0503          |
-| 4.1553        | 0.1410 | 1500  | 1.0401          |
-| 4.1548        | 0.1880 | 2000  | 1.0326          |
-| 4.1078        | 0.2350 | 2500  | 1.0245          |
-| 3.9499        | 0.2820 | 3000  | 1.0212          |
-| 4.1529        | 0.3290 | 3500  | 1.0181          |
-| 4.0215        | 0.3760 | 4000  | 1.0129          |
-| 4.041         | 0.4230 | 4500  | 1.0108          |
-| 4.0144        | 0.4700 | 5000  | 1.0097          |
-| 4.0073        | 0.5170 | 5500  | 1.0079          |
-| 4.0269        | 0.5640 | 6000  | 1.0063          |
-| 4.0554        | 0.6110 | 6500  | 1.0035          |
-| 3.8551        | 0.6580 | 7000  | 1.0025          |
-| 3.9699        | 0.7050 | 7500  | 1.0005          |
-| 3.9472        | 0.7520 | 8000  | 0.9996          |
-| 3.9533        | 0.7990 | 8500  | 0.9988          |
-| 3.7937        | 0.8460 | 9000  | 0.9974          |
-| 4.0908        | 0.8930 | 9500  | 0.9965          |
-| 3.9352        | 0.9400 | 10000 | 0.9959          |
-| 3.8879        | 0.9870 | 10500 | 0.9938          |
-| 3.6075        | 1.0340 | 11000 | 1.0035          |
-| 3.6704        | 1.0810 | 11500 | 1.0077          |
-| 3.7977        | 1.1280 | 12000 | 1.0078          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2