End of training

README.md

@@ -12,100 +12,6 @@ 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: NousResearch/Yarn-Llama-2-13b-64k
-bf16: auto
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - b61e8732bf90c34c_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/b61e8732bf90c34c_train_data.json
-  type:
-    field_instruction: title
-    field_output: content
-    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: 2
-eval_max_new_tokens: 128
-eval_steps: 150
-eval_table_size: null
-evals_per_epoch: null
-flash_attention: false
-fp16: false
-fsdp: null
-fsdp_config: null
-gradient_accumulation_steps: 4
-gradient_checkpointing: false
-group_by_length: true
-hub_model_id: havinash-ai/35fa0f9b-8d51-4cc9-ba6f-076fb7df175d
-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: 3288
-micro_batch_size: 2
-mlflow_experiment_name: /tmp/b61e8732bf90c34c_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: 150
-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: 7a5cf688-1ec2-4add-afd0-6425415d08cf
-wandb_project: SN56-2
-wandb_run: your_name
-wandb_runid: 7a5cf688-1ec2-4add-afd0-6425415d08cf
-warmup_steps: 50
-weight_decay: 0.0
-xformers_attention: null
-
-```
-
-</details><br>
 
 # 35fa0f9b-8d51-4cc9-ba6f-076fb7df175d
 
@@ -125,47 +31,6 @@ More information needed
 
 More information needed
 
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- 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: 3288
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0004 | 1    | 1.8061          |
-| 6.8798        | 0.0641 | 150  | 1.7263          |
-| 6.7646        | 0.1282 | 300  | 1.7142          |
-| 6.707         | 0.1923 | 450  | 1.7085          |
-| 6.6629        | 0.2565 | 600  | 1.7019          |
-| 6.7752        | 0.3206 | 750  | 1.6978          |
-| 6.647         | 0.3847 | 900  | 1.6936          |
-| 6.6397        | 0.4488 | 1050 | 1.6920          |
-| 6.7043        | 0.5129 | 1200 | 1.6891          |
-| 6.6368        | 0.5770 | 1350 | 1.6825          |
-| 6.6624        | 0.6412 | 1500 | 1.6810          |
-| 6.7092        | 0.7053 | 1650 | 1.6780          |
-| 6.713         | 0.7694 | 1800 | 1.6738          |
-| 6.556         | 0.8335 | 1950 | 1.6738          |
-| 6.6372        | 0.8976 | 2100 | 1.6702          |
-| 6.6728        | 0.9617 | 2250 | 1.6689          |
-| 5.7456        | 1.0259 | 2400 | 1.6864          |
-| 5.8207        | 1.0900 | 2550 | 1.6780          |
-| 5.7799        | 1.1541 | 2700 | 1.6895          |
-
-
 ### Framework versions
 
 - PEFT 0.13.2