End of training

README.md

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+---
+library_name: peft
+license: llama3
+base_model: tuneai/Meta-Llama-3-8B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: alpaca-2
+  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: `0.4.1`
+```yaml
+adapter: qlora
+base_model: tuneai/Meta-Llama-3-8B-Instruct
+base_model_config: tuneai/Meta-Llama-3-8B-Instruct
+chat_template: llama3
+datasets:
+- conversation: llama3
+  data_files: /root/.cache/model/chat/alpaca-jsonl-rfp-response-1.jsonl
+  ds_type: json
+  path: /root/.cache/model/chat/alpaca-jsonl-rfp-response-1.jsonl
+  type: sharegpt
+eval_sample_packing: false
+eval_steps: 50
+flash_attention: true
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+hf_use_auth_token: true
+hub_model_id: esha111/alpaca-2
+learning_rate: 0.0002
+load_in_4bit: true
+logging_steps: 1
+lora_alpha: 16
+lora_dropout: 0.05
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+micro_batch_size: 2
+model_type: AutoModelForCausalLM
+num_epochs: 6
+optimizer: paged_adamw_32bit
+output_dir: /root/.cache/model/esha111/alpaca-2-model-5sbvomla
+pad_to_sequence_len: true
+sample_packing: true
+save_safetensors: true
+sequence_len: 4096
+special_tokens:
+  pad_token: <|end_of_text|>
+tokenizer_type: AutoTokenizer
+wandb_project: finetune-rfp-response-1-tune-studio
+wandb_run_id: '3'
+wandb_watch: 'true'
+warmup_steps: 10
+
+```
+
+</details><br>
+
+# alpaca-2
+
+This model is a fine-tuned version of [tuneai/Meta-Llama-3-8B-Instruct](https://huggingface.co/tuneai/Meta-Llama-3-8B-Instruct) on the None 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.PAGED_ADAMW 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: 10
+- num_epochs: 6
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1