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: Qwen/Qwen2-0.5B-Instruct
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - faac95dc89d5aaf4_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/faac95dc89d5aaf4_train_data.json
-  type:
-    field_instruction: Position
-    field_output: Long Description
-    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: baby-dev/b83a28a3-0936-4201-9702-4b83695c4b24
-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: 17961
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/faac95dc89d5aaf4_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: c9ecd632-e969-4107-8300-5581f0555196
-wandb_project: SN56-45
-wandb_run: your_name
-wandb_runid: c9ecd632-e969-4107-8300-5581f0555196
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # b83a28a3-0936-4201-9702-4b83695c4b24
 
@@ -126,64 +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: 17961
-
-### Training results
-
-| Training Loss | Epoch  | Step  | Validation Loss |
-|:-------------:|:------:|:-----:|:---------------:|
-| No log        | 0.0001 | 1     | 3.1876          |
-| 2.6781        | 0.0595 | 500   | 2.7293          |
-| 2.613         | 0.1189 | 1000  | 2.6415          |
-| 2.5873        | 0.1784 | 1500  | 2.5945          |
-| 2.5621        | 0.2379 | 2000  | 2.5497          |
-| 2.5246        | 0.2974 | 2500  | 2.5199          |
-| 2.4733        | 0.3568 | 3000  | 2.4942          |
-| 2.4558        | 0.4163 | 3500  | 2.4701          |
-| 2.4541        | 0.4758 | 4000  | 2.4530          |
-| 2.4333        | 0.5352 | 4500  | 2.4314          |
-| 2.4214        | 0.5947 | 5000  | 2.4195          |
-| 2.4176        | 0.6542 | 5500  | 2.4075          |
-| 2.3537        | 0.7136 | 6000  | 2.3950          |
-| 2.3733        | 0.7731 | 6500  | 2.3838          |
-| 2.3496        | 0.8326 | 7000  | 2.3737          |
-| 2.3579        | 0.8921 | 7500  | 2.3647          |
-| 2.3563        | 0.9515 | 8000  | 2.3589          |
-| 2.2515        | 1.0110 | 8500  | 2.3444          |
-| 2.2758        | 1.0705 | 9000  | 2.3357          |
-| 2.2895        | 1.1300 | 9500  | 2.3319          |
-| 2.2768        | 1.1894 | 10000 | 2.3239          |
-| 2.2607        | 1.2489 | 10500 | 2.3184          |
-| 2.2458        | 1.3084 | 11000 | 2.3137          |
-| 2.2649        | 1.3679 | 11500 | 2.3086          |
-| 2.2883        | 1.4273 | 12000 | 2.3050          |
-| 2.3083        | 1.4868 | 12500 | 2.2994          |
-| 2.2674        | 1.5463 | 13000 | 2.2964          |
-| 2.2369        | 1.6057 | 13500 | 2.2917          |
-| 2.2928        | 1.6652 | 14000 | 2.2881          |
-| 2.2581        | 1.7247 | 14500 | 2.2826          |
-| 2.2834        | 1.7842 | 15000 | 2.2807          |
-| 2.2535        | 1.8436 | 15500 | 2.2771          |
-| 2.2659        | 1.9031 | 16000 | 2.2737          |
-| 2.2877        | 1.9626 | 16500 | 2.2694          |
-| 2.1472        | 2.0221 | 17000 | 2.2679          |
-| 2.1755        | 2.0815 | 17500 | 2.2683          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2