End of training

README.md

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+---
+library_name: peft
+license: other
+base_model: sethuiyer/Medichat-Llama3-8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: da8d1c0c-0f9d-46fa-9f3b-305282ec3fd6
+  results: []
+---
+
+<!-- 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: `0.11.0.dev0`
+```yaml
+adapter: lora
+attn_implementation: eager
+base_model: sethuiyer/Medichat-Llama3-8B
+bf16: true
+datasets:
+- data_files:
+  - 39f6921607e7687d_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/
+  type:
+    field_instruction: instruct
+    field_output: output
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+eval_max_new_tokens: 128
+evals_per_epoch: 4
+flash_attention: false
+fp16: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+group_by_length: true
+hf_upload_public: true
+hf_upload_repo_type: model
+hub_model_id: cpheemagazine/da8d1c0c-0f9d-46fa-9f3b-305282ec3fd6
+learning_rate: 0.0002
+load_in_4bit: false
+logging_steps: 10
+lora_alpha: 32
+lora_dropout: 0.15
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+loraplus_lr_embedding: 1.0e-06
+loraplus_lr_ratio: 16
+lr_scheduler: cosine
+max_steps: 1425
+micro_batch_size: 12
+mlflow_experiment_name: /tmp/39f6921607e7687d_train_data.json
+model_card: false
+optimizer: adamw_torch_fused
+output_dir: miner_id_24
+push_to_hub: true
+rl: null
+sample_packing: true
+save_steps: 213
+sequence_len: 2048
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: true
+trl: null
+trust_remote_code: false
+use_flash_attention: false
+wandb_name: 707f1577-8855-40c1-b3ed-a22e67489c62
+wandb_project: Gradients-On-Demand
+wandb_run: apriasmoro
+wandb_runid: 707f1577-8855-40c1-b3ed-a22e67489c62
+warmup_steps: 142
+weight_decay: 0.02
+
+```
+
+</details><br>
+
+# da8d1c0c-0f9d-46fa-9f3b-305282ec3fd6
+
+This model is a fine-tuned version of [sethuiyer/Medichat-Llama3-8B](https://huggingface.co/sethuiyer/Medichat-Llama3-8B) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 48
+- total_eval_batch_size: 48
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 142
+- training_steps: 1425
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.53.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.2