Edens-Gate
/

Hamanasu-4B-Adventure-Final-Hopefully

+---
+library_name: transformers
+base_model: NewEden/Hamanasu-KTO-4B
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- PocketDoc/Dans-Prosemaxx-Cowriter-3-S
+- PocketDoc/Dans-Prosemaxx-Adventure
+- PocketDoc/Dans-Failuremaxx-Adventure-3
+- PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-2
+- PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-3
+- PocketDoc/Dans-Prosemaxx-InstructWriter-Continue-2
+- PocketDoc/Dans-Prosemaxx-Instructwriter-Long
+model-index:
+- name: Hamanasu-4B-Adventure-Final-Hopefully
+  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: `0.8.0.dev0`
+```yaml
+base_model: NewEden/Hamanasu-KTO-4B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+hub_model_id: NewEden/Hamanasu-4B-Adventure-Final-Hopefully
+hub_strategy: "all_checkpoints"
+push_dataset_to_hub:
+hf_use_auth_token: true
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: false
+cut_cross_entropy: true
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+datasets:
+  - path: PocketDoc/Dans-Prosemaxx-Cowriter-3-S
+    type: dan-chat-advanced
+  - path: PocketDoc/Dans-Prosemaxx-Adventure
+    type: dan-chat-advanced
+  - path: PocketDoc/Dans-Failuremaxx-Adventure-3
+    type: dan-chat-advanced
+  - path: PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-2
+    type: dan-chat-advanced
+  - path: PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-3
+    type: dan-chat-advanced
+  - path: PocketDoc/Dans-Prosemaxx-InstructWriter-Continue-2
+    type: dan-chat-advanced
+  - path: PocketDoc/Dans-Prosemaxx-Instructwriter-Long
+    type: dan-chat-advanced
+shuffle_merged_datasets: true
+dataset_prepared_path: prepared_data
+val_set_size: 0.01
+output_dir: ./adventure
+sequence_len: 32768
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: true
+wandb_project: tavbussy
+wandb_entity:
+wandb_watch:
+wandb_name: adventure-attempt-02
+wandb_log_model:
+gradient_accumulation_steps: 1
+micro_batch_size: 4
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 5e-6
+max_grad_norm: 0.1
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+warmup_steps: 25
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 2
+debug:
+deepspeed: ./deepspeed_configs/zero3_bf16.json
+weight_decay: 0.02
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|finetune_right_pad_id|>
+```
+</details><br>
+# Hamanasu-4B-Adventure-Final-Hopefully
+This model is a fine-tuned version of [NewEden/Hamanasu-KTO-4B](https://huggingface.co/NewEden/Hamanasu-KTO-4B) on the PocketDoc/Dans-Prosemaxx-Cowriter-3-S, the PocketDoc/Dans-Prosemaxx-Adventure, the PocketDoc/Dans-Failuremaxx-Adventure-3, the PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-2, the PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-3, the PocketDoc/Dans-Prosemaxx-InstructWriter-Continue-2 and the PocketDoc/Dans-Prosemaxx-Instructwriter-Long datasets.
+It achieves the following results on the evaluation set:
+- Loss: 2.4143
+## 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: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_BNB 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: 25
+- num_epochs: 4.0
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.5668        | 0.0068 | 1    | 2.5806          |
+| 2.455         | 0.2534 | 37   | 2.4450          |
+| 2.4115        | 0.5068 | 74   | 2.4323          |
+| 2.3298        | 0.7603 | 111  | 2.4223          |
+| 2.322         | 1.0137 | 148  | 2.4178          |
+| 2.2661        | 1.2671 | 185  | 2.4178          |
+| 2.2482        | 1.5205 | 222  | 2.4155          |
+| 2.3707        | 1.7740 | 259  | 2.4115          |
+| 2.293         | 2.0274 | 296  | 2.4132          |
+| 2.3085        | 2.2808 | 333  | 2.4137          |
+| 2.1902        | 2.5342 | 370  | 2.4123          |
+| 2.216         | 2.7877 | 407  | 2.4112          |
+| 2.3081        | 3.0411 | 444  | 2.4123          |
+| 2.1989        | 3.2945 | 481  | 2.4142          |
+| 2.2527        | 3.5479 | 518  | 2.4142          |
+| 2.2419        | 3.8014 | 555  | 2.4143          |
+### Framework versions
+- Transformers 4.50.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1