End of training

README.md

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+---
+base_model: DewEfresh/neo_7b-slerp
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: neo-7b-slerp-hermes2
+  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: `0.4.1`
+```yaml
+adapter: qlora
+base_model: DewEfresh/neo_7b-slerp
+bf16: auto
+chat_template: chatml
+dataset_prepared_path: null
+datasets:
+- conversation: chatml
+  path: https://huggingface.co/datasets/cognitivecomputations/dolphin-2.9.3/resolve/main/openhermes200k_unfiltered.jsonl
+  type: sharegpt
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_sample_packing: false
+evals_per_epoch: 3
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 16
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: DewEfresh/neo-7b-slerp-hermes2
+learning_rate: 0.0002
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lora_target_modules: null
+lr_scheduler: cosine
+micro_batch_size: 8
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+output_dir: ./outputs/qlora-out
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+sample_packing: true
+saves_per_epoch: 1
+sequence_len: 4096
+special_tokens: null
+strict: false
+tf32: false
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_log_model: null
+wandb_name: null
+wandb_project: neo-7b-slerp-hermes2
+wandb_watch: null
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# neo-7b-slerp-hermes2
+
+This model is a fine-tuned version of [DewEfresh/neo_7b-slerp](https://huggingface.co/DewEfresh/neo_7b-slerp) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.5603
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 1024
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 15.1348       | 0.0521 | 1    | 14.5242         |
+| 9.6676        | 0.3648 | 7    | 8.0894          |
+| 7.076         | 0.7296 | 14   | 6.8289          |
+| 6.6836        | 1.0717 | 21   | 6.4673          |
+| 6.3156        | 1.4365 | 28   | 6.1033          |
+| 6.0471        | 1.8013 | 35   | 5.8471          |
+| 5.834         | 2.1433 | 42   | 5.6670          |
+| 5.7349        | 2.5081 | 49   | 5.5762          |
+| 5.7014        | 2.8730 | 56   | 5.5603          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.1.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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