Update README.md

README.md

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----
-library_name: peft
-tags:
-- generated_from_trainer
-datasets:
-- Mielikki/Erebus-87k
-- NewEden/Orion-Asstr-Stories-16K
-base_model: unsloth_phi-4
-model-index:
-- name: phi4-pt-out-r2
-  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: `0.6.0`
-```yaml
-base_model: unsloth_phi-4
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-
-  #hub_model_id: NewEden/Phi4-pretrain
-  #hub_strategy: "all_checkpoints"
-  #push_dataset_to_hub:
-  #hf_use_auth_token: true
-
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_swiglu: true
-liger_fused_linear_cross_entropy: true
-
-  #plugins:
-  #  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
-
-  #cut_cross_entropy: true
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-datasets:
-  - path: Mielikki/Erebus-87k
-    type: completion
-    field: body
-  - path: NewEden/Orion-Asstr-Stories-16K
-    type: completion
-    field: content
-shuffle_merged_datasets: true
-dataset_prepared_path: prepared_data
-val_set_size: 0.0
-output_dir: ./phi4-pt-out-r2
-
-sequence_len: 16384
-sample_packing: true
-pad_to_sequence_len: true
-
-adapter: lora
-lora_model_dir:
-lora_r: 128
-lora_alpha: 16 
-lora_dropout: 0.05
-lora_target_modules:
-  - gate_proj
-  - down_proj
-  - up_proj
-  - q_proj
-  - v_proj
-  - k_proj
-  - o_proj
-
-lora_modules_to_save:
- - embed_tokens
- - lm_head
-
-
-wandb_project: mag-phi
-wandb_entity:
-wandb_watch:
-wandb_name: attempt-02
-wandb_log_model:
-
-gradient_accumulation_steps: 4
-micro_batch_size: 2
-num_epochs: 1
-optimizer: paged_ademamix_8bit
-lr_scheduler: cosine
-learning_rate: 0.00001
-
-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
-
-warmup_steps: 10
-evals_per_epoch: 4
-eval_table_size:
-eval_max_new_tokens: 128
-saves_per_epoch: 4
-debug:
-deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
-weight_decay: 0.01
-fsdp:
-fsdp_config:
-
-```
-
-</details><br>
-
-# phi4-pt-out-r2
-
-This model was trained from scratch on the Mielikki/Erebus-87k and the NewEden/Orion-Asstr-Stories-16K datasets.
-
-## 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: 1e-05
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 4
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 32
-- total_eval_batch_size: 8
-- optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are:
-No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 10
-- num_epochs: 1.0
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.14.0
-- Transformers 4.48.1
-- Pytorch 2.5.1+cu124
-- Datasets 3.2.0
-- Tokenizers 0.21.0