End of training

README.md

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+---
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: tomaszki/nous-twenty-nine
+model-index:
+- name: 29-0
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: tomaszki/nous-twenty-nine
+model_type: LlamaForCausalLM
+is_llama_derived_model: true
+hub_model_id: 29-0
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+
+datasets:
+  - path: tomaszki/nous-finetune-axolotl-completion-0
+val_set_size: 0.0
+output_dir: ./out
+
+sequence_len: 512
+sample_packing: false
+
+wandb_project: axolotl
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+adapter: lora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.00
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 12
+num_epochs: 1
+optimizer: adamw_hf
+lr_scheduler: cosine
+learning_rate: 0.00002
+cosine_min_lr_ratio: 0.5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 0
+saves_per_epoch: 1
+debug:
+deepspeed: #deepspeed_configs/zero2.json
+weight_decay: 0.01
+fsdp:
+fsdp_config:
+special_tokens:
+```
+
+</details><br>
+
+# 29-0
+
+This model is a fine-tuned version of [tomaszki/nous-twenty-nine](https://huggingface.co/tomaszki/nous-twenty-nine) 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: 2e-05
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.2+cu118
+- Datasets 2.17.0
+- Tokenizers 0.15.0

adapter_model.bin

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