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0.4.01base_model: T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0
2base_model_config: T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0
3model_type: AutoModelForCausalLM
4tokenizer_type: AutoTokenizer
5is_llama_derived_model: true
6hub_model_id: T3Q-LLM-sft1.0-dpo1.0_100QA
7
8load_in_8bit: false
9load_in_4bit: true
10strict: false
11
12datasets:
13 - path: admin_data.csv
14 type: alpaca
15 # The below are defaults. only set what's needed if you use a different column name.
16 # system_prompt: ""
17 # system_format: "{system}"
18 # field_system: system
19 # field_instruction: instruction
20 # field_input: input
21 # field_output: output
22
23 # format: |-
24 # Human: {instruction} {input}
25 # Assistant:
26
27 # no_input_format: "{instruction} "
28
29# dataset_prepared_path: yanolja_preprocessed_data
30dataset_prepared_path: last_run_prepared
31val_set_size: 0.2
32output_dir: ./T3Q-LLM-sft1.0-dpo1.0_100QA
33
34adapter: qlora
35lora_model_dir:
36
37# device_map: [0,1,3]
38
39sequence_len: 4096
40sample_packing: false
41
42lora_r: 32
43lora_alpha: 16
44lora_dropout: 0.05
45lora_target_modules:
46lora_target_linear: true
47lora_fan_in_fan_out:
48
49wandb_project: axolotl_T3Q
50wandb_entity:
51wandb_watch:
52wandb_run_id: T3Q_mod_100
53wandb_log_model:
54
55gradient_accumulation_steps: 4
56micro_batch_size: 2
57num_epochs: 10
58optimizer: paged_adamw_32bit
59lr_scheduler: cosine
60learning_rate: 0.0002
61
62train_on_inputs: false
63group_by_length: false
64bf16: true
65fp16: false
66tf32: false
67
68gradient_checkpointing: true
69early_stopping_patience:
70resume_from_checkpoint:
71local_rank:
72logging_steps: 1
73xformers_attention:
74flash_attention: true
75
76warmup_steps: 100
77eval_steps: 0.01
78save_strategy: epoch
79save_steps:
80debug:
81deepspeed:
82weight_decay: 0.0
83fsdp:
84fsdp_config:
85special_tokens:
86 bos_token: "<s>"
87 eos_token: "<|im_end|>"
88 unk_token: "<unk>"
89 pad_token: "</s>" # EOS와 PAD가 동일
90| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8867 | 0.2 | 1 | 1.0564 |
| 0.9385 | 0.4 | 2 | 1.0557 |
| 0.9454 | 0.6 | 3 | 1.0535 |
| 0.8469 | 0.8 | 4 | 1.0494 |
| 0.8583 | 1.0 | 5 | 1.0412 |
| 0.8691 | 1.2 | 6 | 1.0262 |
| 0.8306 | 1.4 | 7 | 1.0073 |
| 0.8302 | 1.6 | 8 | 0.9834 |
| 0.8028 | 1.8 | 9 | 0.9556 |
| 0.8987 | 2.0 | 10 | 0.9181 |
| 0.7826 | 2.2 | 11 | 0.8777 |
| 0.6936 | 2.4 | 12 | 0.8379 |
| 0.6453 | 2.6 | 13 | 0.8035 |
| 0.6613 | 2.8 | 14 | 0.7741 |
| 0.6548 | 3.0 | 15 | 0.7483 |
| 0.6078 | 3.2 | 16 | 0.7238 |
| 0.6185 | 3.4 | 17 | 0.7004 |
| 0.5293 | 3.6 | 18 | 0.6815 |
| 0.5617 | 3.8 | 19 | 0.6666 |
| 0.4845 | 4.0 | 20 | 0.6541 |
| 0.4904 | 4.2 | 21 | 0.6443 |
| 0.5375 | 4.4 | 22 | 0.6349 |
| 0.5099 | 4.6 | 23 | 0.6254 |
| 0.4286 | 4.8 | 24 | 0.6187 |
| 0.4952 | 5.0 | 25 | 0.6133 |
| 0.4394 | 5.2 | 26 | 0.6089 |
| 0.4974 | 5.4 | 27 | 0.6041 |
| 0.3877 | 5.6 | 28 | 0.5999 |
| 0.4992 | 5.8 | 29 | 0.5952 |
| 0.4187 | 6.0 | 30 | 0.5902 |
| 0.4302 | 6.2 | 31 | 0.5871 |
| 0.3861 | 6.4 | 32 | 0.5836 |
| 0.3966 | 6.6 | 33 | 0.5805 |
| 0.4399 | 6.8 | 34 | 0.5786 |
| 0.3732 | 7.0 | 35 | 0.5777 |
| 0.3727 | 7.2 | 36 | 0.5780 |
| 0.3442 | 7.4 | 37 | 0.5786 |
| 0.3477 | 7.6 | 38 | 0.5801 |
| 0.3763 | 7.8 | 39 | 0.5808 |
| 0.3498 | 8.0 | 40 | 0.5824 |
| 0.312 | 8.2 | 41 | 0.5834 |
| 0.3282 | 8.4 | 42 | 0.5869 |
| 0.2938 | 8.6 | 43 | 0.5912 |
| 0.2908 | 8.8 | 44 | 0.5967 |
| 0.3083 | 9.0 | 45 | 0.6031 |
| 0.244 | 9.2 | 46 | 0.6111 |
| 0.2894 | 9.4 | 47 | 0.6228 |
| 0.2318 | 9.6 | 48 | 0.6353 |
| 0.2375 | 9.8 | 49 | 0.6474 |
| 0.1939 | 10.0 | 50 | 0.6629 |