End of training

README.md

@@ -13,101 +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/mistral-7b-v0.2
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - efe429f8e3bf66be_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/efe429f8e3bf66be_train_data.json
-  type:
-    field_input: iso15924
-    field_instruction: language
-    field_output: sentence
-    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: 3
-eval_batch_size: 4
-eval_max_new_tokens: 128
-eval_steps: 200
-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/11cf1ff3-86ff-4c90-b397-efcdebdeae88
-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: 7082
-micro_batch_size: 4
-mlflow_experiment_name: /tmp/efe429f8e3bf66be_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: 200
-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: a27336f5-8ebf-433b-9ef6-6c763679a750
-wandb_project: SN56-45
-wandb_run: your_name
-wandb_runid: a27336f5-8ebf-433b-9ef6-6c763679a750
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 11cf1ff3-86ff-4c90-b397-efcdebdeae88
 
@@ -127,53 +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: 7082
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0006 | 1    | 3.9921          |
-| 12.3054       | 0.1259 | 200  | 3.2720          |
-| 11.487        | 0.2518 | 400  | 2.9317          |
-| 11.1714       | 0.3777 | 600  | 2.8143          |
-| 10.1031       | 0.5035 | 800  | 2.6940          |
-| 10.2724       | 0.6294 | 1000 | 2.6826          |
-| 10.2377       | 0.7553 | 1200 | 2.6089          |
-| 9.8305        | 0.8812 | 1400 | 2.5509          |
-| 9.1697        | 1.0071 | 1600 | 2.4581          |
-| 8.3001        | 1.1330 | 1800 | 2.4664          |
-| 8.5628        | 1.2589 | 2000 | 2.4313          |
-| 8.5174        | 1.3847 | 2200 | 2.4175          |
-| 8.7654        | 1.5106 | 2400 | 2.4246          |
-| 8.6183        | 1.6365 | 2600 | 2.3758          |
-| 8.8801        | 1.7624 | 2800 | 2.3494          |
-| 8.8814        | 1.8883 | 3000 | 2.3666          |
-| 8.2151        | 2.0142 | 3200 | 2.3401          |
-| 7.5525        | 2.1400 | 3400 | 2.3438          |
-| 7.6621        | 2.2659 | 3600 | 2.3561          |
-| 7.8333        | 2.3918 | 3800 | 2.3346          |
-| 8.0406        | 2.5177 | 4000 | 2.3303          |
-| 8.3018        | 2.6436 | 4200 | 2.3211          |
-| 8.2208        | 2.7695 | 4400 | 2.3363          |
-| 8.3738        | 2.8954 | 4600 | 2.3319          |
-| 7.4372        | 3.0212 | 4800 | 2.3381          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2