mv file

README.md

@@ -1,3 +1,133 @@
 ---
 license: apache-2.0
+base_model: beomi/OPEN-SOLAR-KO-10.7B
+tags:
+- generated_from_trainer
+model-index:
+- name: beomidpo-out-v2
+  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: beomi/OPEN-SOLAR-KO-10.7B
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+rl: dpo
+datasets:
+  - path: datasets/dposet/dpodatav2.jsonl
+    ds_type: json
+    data_files:
+      - datasets/dposet/dpodatav2.jsonl
+    split: train
+
+dataset_prepared_path:
+val_set_size: 0.0
+output_dir: ./beomidpo-out-v2
+
+adapter: lora
+lora_model_dir:
+
+sequence_len: 2048
+sample_packing: false
+pad_to_sequence_len: false
+
+lora_r: 8
+lora_alpha: 32
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+num_epochs: 1
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: false
+fp16: true
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: false
+
+warmup_steps: 10
+save_steps: 100
+save_total_limit: 3
+debug:
+deepspeed: deepspeed_configs/zero2.json
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+save_safetensors: false
+
+```
+
+</details><br>
+
+# beomidpo-out-v2
+
+This model is a fine-tuned version of [beomi/OPEN-SOLAR-KO-10.7B](https://huggingface.co/beomi/OPEN-SOLAR-KO-10.7B) on the None 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: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 8
+- 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
+- training_steps: 2645
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

beomidpo-out-v2/README.md

@@ -1,133 +0,0 @@
----
-license: apache-2.0
-base_model: beomi/OPEN-SOLAR-KO-10.7B
-tags:
-- generated_from_trainer
-model-index:
-- name: beomidpo-out-v2
-  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: beomi/OPEN-SOLAR-KO-10.7B
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-rl: dpo
-datasets:
-  - path: datasets/dposet/dpodatav2.jsonl
-    ds_type: json
-    data_files:
-      - datasets/dposet/dpodatav2.jsonl
-    split: train
-
-dataset_prepared_path:
-val_set_size: 0.0
-output_dir: ./beomidpo-out-v2
-
-adapter: lora
-lora_model_dir:
-
-sequence_len: 2048
-sample_packing: false
-pad_to_sequence_len: false
-
-lora_r: 8
-lora_alpha: 32
-lora_dropout: 0.05
-lora_target_linear: true
-lora_fan_in_fan_out:
-lora_target_modules:
-  - q_proj
-  - v_proj
-  - k_proj
-  - o_proj
-gradient_accumulation_steps: 1
-micro_batch_size: 1
-num_epochs: 1
-optimizer: paged_adamw_8bit
-lr_scheduler: cosine
-learning_rate: 2e-5
-
-train_on_inputs: false
-group_by_length: false
-bf16: false
-fp16: true
-tf32: false
-
-gradient_checkpointing: true
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: false
-
-warmup_steps: 10
-save_steps: 100
-save_total_limit: 3
-debug:
-deepspeed: deepspeed_configs/zero2.json
-weight_decay: 0.0
-fsdp:
-fsdp_config:
-special_tokens:
-save_safetensors: false
-
-```
-
-</details><br>
-
-# beomidpo-out-v2
-
-This model is a fine-tuned version of [beomi/OPEN-SOLAR-KO-10.7B](https://huggingface.co/beomi/OPEN-SOLAR-KO-10.7B) on the None 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: 1
-- eval_batch_size: 8
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- total_train_batch_size: 8
-- 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
-- training_steps: 2645
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.38.0.dev0
-- Pytorch 2.0.1+cu118
-- Datasets 2.16.1
-- Tokenizers 0.15.0