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README.md

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----
-library_name: peft
-tags:
-- generated_from_trainer
-base_model: NewEden_nemo-chatml
-model-index:
-- name: 12b-out-rslora-SE
-  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: `0.5.0`
-```yaml
-## model
-base_model: NewEden_nemo-chatml
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-
-## qlora COPE
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-## data 
-datasets:
-  - path: AquaV/c2-sharegpt-advanced-prefills-filtered
-    type: danchat-advanced
-  - path: AquaV/c1-sharegpt-advanced-prefills-filtered
-    type: danchat-advanced
-  - path: AquaV/rainy-sharegpt-advanced-prefills-filtered 
-    type: danchat-advanced
-  - path: anthracite-core/Gryphe-Opus-Charcard-Roleplay
-    type: danchat-advanced
-  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
-    type: danchat-advanced
-  - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
-    type: danchat-advanced
-  - path: anthracite-org/nopm_claude_writing_fixed
-    type: danchat-advanced
-  - path: anthracite-org/kalo_opus_misc_240827
-    type: danchat-advanced
-  - path: anthracite-org/kalo_misc_part2
-    type: danchat-advanced
-  - path: NewEden/Claude-Instruct-2.7K
-    type: danchat-advanced
-  - path: NewEden/Claude-Instruct-5K
-    type: danchat-advanced
-shuffle_merged_datasets: true
-dataset_prepared_path: dataset_prepared
-val_set_size: 0.02
-output_dir: 12b-out-rslora-SE
-
-## LIGGER
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_layer_norm: true
-liger_glu_activation: true
-liger_fused_linear_cross_entropy: true
-
-## CTX settings
-sequence_len: 16384
-sample_packing: true
-eval_sample_packing: true
-pad_to_sequence_len: true
-
-## Lora 
-adapter: lora
-lora_model_dir:
-lora_r: 128
-lora_alpha: 16
-lora_dropout: 0.05
-lora_target_linear: true
-lora_fan_in_fan_out:
-peft_use_rslora: true
-lora_modules_to_save:
-  - embed_tokens
-  - lm_head
-
-## WandB
-wandb_project: SE-mag-12B
-wandb_entity:
-wandb_watch:
-wandb_name: daring-mango
-wandb_log_model:
-
-## evals
-evals_per_epoch: 4
-eval_table_size:
-eval_max_new_tokens: 128
-
-## hoe params
-gradient_accumulation_steps: 4
-micro_batch_size: 1
-num_epochs: 2
-optimizer: paged_ademamix_8bit
-# optimizer: paged_adamw_8bit
-lr_scheduler: cosine
-learning_rate: 2.83e-5
-
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: false
-
-gradient_checkpointing: unsloth
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-s2_attention:
-
-warmup_steps: 40
-saves_per_epoch: 2
-debug:
-## for ademiamix 
-deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
-## for adamw
-# deepspeed: ./deepspeed_configs/zero3_bf16.json
-weight_decay: 0.01
-fsdp:
-fsdp_config:
-special_tokens:
-   pad_token: <pad>
-
-```
-
-</details><br>
-
-# 12b-out-rslora-SE
-
-This model was trained from scratch on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0001
-
-## 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: 2.83e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 4
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- total_eval_batch_size: 4
-- optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are:
-No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 40
-- num_epochs: 2
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 5.6935        | 0.0015 | 1    | 1.3433          |
-| 4.2418        | 0.2498 | 166  | 1.0758          |
-| 4.3565        | 0.4996 | 332  | 1.0486          |
-| 4.0471        | 0.7494 | 498  | 1.0297          |
-| 4.4088        | 0.9992 | 664  | 1.0146          |
-| 3.596         | 1.2494 | 830  | 1.0110          |
-| 3.4738        | 1.4992 | 996  | 1.0045          |
-| 3.6522        | 1.7491 | 1162 | 1.0010          |
-| 3.2321        | 1.9989 | 1328 | 1.0001          |
-
-
-### Framework versions
-
-- PEFT 0.13.2
-- Transformers 4.46.1
-- Pytorch 2.3.1+cu121
-- Datasets 3.0.1
-- Tokenizers 0.20.3