Training in progress, step 168

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

.ipynb_checkpoints/lora_orpo-checkpoint.yaml

@@ -0,0 +1,44 @@
+### model
+model_name_or_path: mistralai/Mistral-Nemo-Instruct-2407
+
+### method
+stage: dpo
+pref_loss: orpo
+do_train: true
+finetuning_type: lora
+lora_target: all
+
+### dataset
+dataset: bct_non_cot_dpo_1000
+dataset_dir: data_private
+template: mistral
+cutoff_len: 1024
+# max_samples: 1000
+overwrite_cache: true
+preprocessing_num_workers: 16
+
+### output
+output_dir: saves/Mistral-Nemo-12B-Instruct/lora/saa
+logging_steps: 10
+save_steps: 500
+plot_loss: true
+overwrite_output_dir: true
+save_total_limit: 3
+load_best_model_at_end: true
+push_to_hub: true
+hub_model_id: chchen/Mistral-Nemo-12B-Instruct-SAA
+
+### train
+per_device_train_batch_size: 2
+gradient_accumulation_steps: 8
+learning_rate: 0.000005
+num_train_epochs: 3.0
+lr_scheduler_type: cosine
+warmup_ratio: 0.1
+bf16: true
+
+### eval
+val_size: 0.1
+per_device_eval_batch_size: 2
+evaluation_strategy: steps
+eval_steps: 500

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-Nemo-Instruct-2407",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "up_proj",
+    "q_proj",
+    "o_proj",
+    "v_proj",
+    "k_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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lora_orpo.yaml

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+### model
+model_name_or_path: mistralai/Mistral-Nemo-Instruct-2407
+
+### method
+stage: dpo
+pref_loss: orpo
+do_train: true
+finetuning_type: lora
+lora_target: all
+
+### dataset
+dataset: bct_non_cot_dpo_1000
+dataset_dir: data_private
+template: mistral
+cutoff_len: 1024
+# max_samples: 1000
+overwrite_cache: true
+preprocessing_num_workers: 16
+
+### output
+output_dir: saves/Mistral-Nemo-12B-Instruct/lora/saa
+logging_steps: 10
+save_steps: 500
+plot_loss: true
+overwrite_output_dir: true
+save_total_limit: 3
+load_best_model_at_end: true
+push_to_hub: true
+hub_model_id: chchen/Mistral-Nemo-12B-Instruct-SAA
+
+### train
+per_device_train_batch_size: 2
+gradient_accumulation_steps: 8
+learning_rate: 0.000005
+num_train_epochs: 3.0
+lr_scheduler_type: cosine
+warmup_ratio: 0.1
+bf16: true
+
+### eval
+val_size: 0.1
+per_device_eval_batch_size: 2
+evaluation_strategy: steps
+eval_steps: 500

special_tokens_map.json

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trainer_log.jsonl

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