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: unsloth/SmolLM-1.7B
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - 77c8a61dc22b9e25_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/77c8a61dc22b9e25_train_data.json
-  type:
-    field_instruction: source
-    field_output: target
-    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: JacksonBrune/0d0eeca7-b14b-4cd0-83c5-253860884d14
-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: 32955
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/77c8a61dc22b9e25_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: 116d94b2-1780-42ba-a21d-ea5d0b4896e2
-wandb_project: SN56-18
-wandb_run: your_name
-wandb_runid: 116d94b2-1780-42ba-a21d-ea5d0b4896e2
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 0d0eeca7-b14b-4cd0-83c5-253860884d14
 
@@ -126,57 +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: 32955
-
-### Training results
-
-| Training Loss | Epoch  | Step  | Validation Loss |
-|:-------------:|:------:|:-----:|:---------------:|
-| No log        | 0.0000 | 1     | 1.8738          |
-| 0.973         | 0.0165 | 500   | 0.9804          |
-| 0.9609        | 0.0331 | 1000  | 0.9698          |
-| 0.9459        | 0.0496 | 1500  | 0.9578          |
-| 1.0527        | 0.0661 | 2000  | 0.9540          |
-| 0.9734        | 0.0826 | 2500  | 0.9453          |
-| 0.9648        | 0.0992 | 3000  | 0.9404          |
-| 0.9302        | 0.1157 | 3500  | 0.9410          |
-| 0.9971        | 0.1322 | 4000  | 0.9391          |
-| 0.9167        | 0.1488 | 4500  | 0.9352          |
-| 0.9563        | 0.1653 | 5000  | 0.9326          |
-| 0.9601        | 0.1818 | 5500  | 0.9324          |
-| 0.9156        | 0.1983 | 6000  | 0.9283          |
-| 0.9513        | 0.2149 | 6500  | 0.9274          |
-| 0.9353        | 0.2314 | 7000  | 0.9258          |
-| 0.927         | 0.2479 | 7500  | 0.9249          |
-| 0.9523        | 0.2645 | 8000  | 0.9264          |
-| 0.9367        | 0.2810 | 8500  | 0.9236          |
-| 0.9566        | 0.2975 | 9000  | 0.9220          |
-| 0.9102        | 0.3141 | 9500  | 0.9219          |
-| 0.9599        | 0.3306 | 10000 | 0.9212          |
-| 0.9967        | 0.3471 | 10500 | 0.9208          |
-| 0.9209        | 0.3636 | 11000 | 0.9215          |
-| 0.8993        | 0.3802 | 11500 | 0.9186          |
-| 0.9172        | 0.3967 | 12000 | 0.9192          |
-| 0.9381        | 0.4132 | 12500 | 0.9148          |
-| 0.8999        | 0.4298 | 13000 | 0.9164          |
-| 0.9116        | 0.4463 | 13500 | 0.9174          |
-| 0.9425        | 0.4628 | 14000 | 0.9153          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2