Add Luminia-8B-RP v0.2
Browse filesAdd --dataset qa-unc-sft,psy_mental_health and DPO qa-unc-dpo. This additional step efficiently uncensors model in zero-shot scenarios.
- Luminia-8B-RP-DPO/adapter_config.json +34 -0
- Luminia-8B-RP-DPO/adapter_model.safetensors +3 -0
- Luminia-8B-RP-DPO/all_results.json +9 -0
- Luminia-8B-RP-DPO/llamaboard_config.yaml +69 -0
- Luminia-8B-RP-DPO/running_log.txt +257 -0
- Luminia-8B-RP-DPO/special_tokens_map.json +17 -0
- Luminia-8B-RP-DPO/tokenizer.json +0 -0
- Luminia-8B-RP-DPO/tokenizer_config.json +2065 -0
- Luminia-8B-RP-DPO/train_results.json +9 -0
- Luminia-8B-RP-DPO/trainer_log.jsonl +9 -0
- Luminia-8B-RP-DPO/trainer_state.json +187 -0
- Luminia-8B-RP-DPO/training_args.bin +3 -0
- Luminia-8B-RP-DPO/training_args.yaml +40 -0
- Luminia-8B-RP-DPO/training_loss.png +0 -0
- Luminia-8B-RP-DPO/training_rewards_accuracies.png +0 -0
- Luminia-8B-RP/adapter_config.json +4 -4
- Luminia-8B-RP/adapter_model.safetensors +1 -1
- Luminia-8B-RP/all_results.json +6 -6
- Luminia-8B-RP/train_results.json +6 -6
- Luminia-8B-RP/trainer_log.jsonl +0 -0
- Luminia-8B-RP/trainer_state.json +0 -0
- Luminia-8B-RP/training_args.bin +1 -1
- Luminia-8B-RP/training_loss.png +0 -0
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
Luminia-8B-RP-DPO/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "NousResearch/Meta-Llama-3.1-8B-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.15,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"k_proj",
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"gate_proj",
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"q_proj",
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"down_proj",
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"up_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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Luminia-8B-RP-DPO/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b4989979b346c709c61624d9de12448bda97f42aad388f84d7eda002183f22a
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size 335604696
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Luminia-8B-RP-DPO/all_results.json
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{
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"epoch": 1.0,
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"num_input_tokens_seen": 75616,
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"total_flos": 3443013082939392.0,
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"train_loss": 1.2913809109883136,
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"train_runtime": 56.3341,
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"train_samples_per_second": 1.473,
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"train_steps_per_second": 1.473
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}
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Luminia-8B-RP-DPO/llamaboard_config.yaml
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top.booster: flashattn2
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top.checkpoint_path:
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- Luminia-8B-RP
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top.finetuning_type: lora
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top.model_name: LLaMA3.1-8B-Chat
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top.quantization_bit: '4'
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top.quantization_method: bitsandbytes
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top.rope_scaling: linear
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top.template: alpaca
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top.visual_inputs: false
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train.additional_target: ''
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train.badam_mode: layer
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train.badam_switch_interval: 50
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train.badam_switch_mode: ascending
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train.badam_update_ratio: 0.05
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train.batch_size: 1
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train.compute_type: bf16
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train.create_new_adapter: false
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train.cutoff_len: 4000
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train.dataset:
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- qa-unc-dpo
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train.dataset_dir: data
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train.ds_offload: false
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train.ds_stage: none
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train.freeze_extra_modules: ''
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train.freeze_trainable_layers: 2
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train.freeze_trainable_modules: all
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train.galore_rank: 16
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train.galore_scale: 0.25
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train.galore_target: all
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train.galore_update_interval: 200
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train.gradient_accumulation_steps: 1
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train.learning_rate: 5e-5
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train.logging_steps: 10
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train.lora_alpha: 64
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train.lora_dropout: 0.35
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train.lora_rank: 32
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train.lora_target: all
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train.loraplus_lr_ratio: 0
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train.lr_scheduler_type: cosine
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train.mask_history: false
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train.max_grad_norm: '1.0'
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train.max_samples: '100000'
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train.neat_packing: false
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train.neftune_alpha: 5
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train.num_train_epochs: '1.0'
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train.optim: adamw_8bit
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train.packing: true
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train.ppo_score_norm: false
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train.ppo_whiten_rewards: false
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train.pref_beta: 0.1
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train.pref_ftx: 0
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train.pref_loss: orpo
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train.report_to: false
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train.resize_vocab: false
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train.reward_model:
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- Luminia-8B-RP
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train.save_steps: 1000
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train.shift_attn: false
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train.train_on_prompt: false
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train.training_stage: DPO
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train.use_badam: false
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train.use_dora: false
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train.use_galore: false
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train.use_llama_pro: false
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train.use_pissa: false
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train.use_rslora: false
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train.val_size: 0
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train.warmup_steps: 0
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Luminia-8B-RP-DPO/running_log.txt
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[WARNING|parser.py:279] 2024-08-31 19:14:40,267 >> We recommend enable `upcast_layernorm` in quantized training.
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[INFO|parser.py:351] 2024-08-31 19:14:40,267 >> Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, compute dtype: torch.bfloat16
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[INFO|tokenization_utils_base.py:2289] 2024-08-31 19:14:40,450 >> loading file tokenizer.json from cache at G:\Dataset\cache\hub\models--NousResearch--Meta-Llama-3.1-8B-Instruct\snapshots\d10aef7999a2b5ba950ab3974312feeedbfe0b77\tokenizer.json
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[INFO|tokenization_utils_base.py:2289] 2024-08-31 19:14:40,450 >> loading file added_tokens.json from cache at None
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[INFO|tokenization_utils_base.py:2289] 2024-08-31 19:14:40,450 >> loading file special_tokens_map.json from cache at G:\Dataset\cache\hub\models--NousResearch--Meta-Llama-3.1-8B-Instruct\snapshots\d10aef7999a2b5ba950ab3974312feeedbfe0b77\special_tokens_map.json
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[INFO|tokenization_utils_base.py:2289] 2024-08-31 19:14:40,451 >> loading file tokenizer_config.json from cache at G:\Dataset\cache\hub\models--NousResearch--Meta-Llama-3.1-8B-Instruct\snapshots\d10aef7999a2b5ba950ab3974312feeedbfe0b77\tokenizer_config.json
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[INFO|tokenization_utils_base.py:2533] 2024-08-31 19:14:40,616 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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[INFO|template.py:373] 2024-08-31 19:14:40,616 >> Add pad token: <|eot_id|>
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[INFO|loader.py:52] 2024-08-31 19:14:40,617 >> Loading dataset qa-unc-dpo.json...
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[INFO|configuration_utils.py:733] 2024-08-31 19:14:59,967 >> loading configuration file config.json from cache at G:\Dataset\cache\hub\models--NousResearch--Meta-Llama-3.1-8B-Instruct\snapshots\d10aef7999a2b5ba950ab3974312feeedbfe0b77\config.json
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[INFO|configuration_utils.py:800] 2024-08-31 19:14:59,968 >> Model config LlamaConfig {
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"_name_or_path": "NousResearch/Meta-Llama-3.1-8B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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| 42 |
+
"num_hidden_layers": 32,
|
| 43 |
+
"num_key_value_heads": 8,
|
| 44 |
+
"pretraining_tp": 1,
|
| 45 |
+
"rms_norm_eps": 1e-05,
|
| 46 |
+
"rope_scaling": {
|
| 47 |
+
"factor": 8.0,
|
| 48 |
+
"high_freq_factor": 4.0,
|
| 49 |
+
"low_freq_factor": 1.0,
|
| 50 |
+
"original_max_position_embeddings": 8192,
|
| 51 |
+
"rope_type": "llama3"
|
| 52 |
+
},
|
| 53 |
+
"rope_theta": 500000.0,
|
| 54 |
+
"tie_word_embeddings": false,
|
| 55 |
+
"torch_dtype": "bfloat16",
|
| 56 |
+
"transformers_version": "4.43.3",
|
| 57 |
+
"use_cache": true,
|
| 58 |
+
"vocab_size": 128256
|
| 59 |
+
}
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
[WARNING|rope.py:57] 2024-08-31 19:14:59,970 >> Input length is smaller than max length. Consider increase input length.
|
| 63 |
+
|
| 64 |
+
[INFO|rope.py:63] 2024-08-31 19:14:59,970 >> Using linear scaling strategy and setting scaling factor to 1.0
|
| 65 |
+
|
| 66 |
+
[INFO|quantization.py:182] 2024-08-31 19:14:59,971 >> Quantizing model to 4 bit with bitsandbytes.
|
| 67 |
+
|
| 68 |
+
[INFO|modeling_utils.py:3634] 2024-08-31 19:15:00,414 >> loading weights file model.safetensors from cache at G:\Dataset\cache\hub\models--NousResearch--Meta-Llama-3.1-8B-Instruct\snapshots\d10aef7999a2b5ba950ab3974312feeedbfe0b77\model.safetensors.index.json
|
| 69 |
+
|
| 70 |
+
[INFO|modeling_utils.py:1572] 2024-08-31 19:15:00,426 >> Instantiating LlamaForCausalLM model under default dtype torch.bfloat16.
|
| 71 |
+
|
| 72 |
+
[INFO|configuration_utils.py:1038] 2024-08-31 19:15:00,429 >> Generate config GenerationConfig {
|
| 73 |
+
"bos_token_id": 128000,
|
| 74 |
+
"eos_token_id": [
|
| 75 |
+
128001,
|
| 76 |
+
128008,
|
| 77 |
+
128009
|
| 78 |
+
]
|
| 79 |
+
}
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
[INFO|modeling_utils.py:4463] 2024-08-31 19:15:57,314 >> All model checkpoint weights were used when initializing LlamaForCausalLM.
|
| 83 |
+
|
| 84 |
+
|
| 85 |
+
[INFO|modeling_utils.py:4471] 2024-08-31 19:15:57,314 >> All the weights of LlamaForCausalLM were initialized from the model checkpoint at NousResearch/Meta-Llama-3.1-8B-Instruct.
|
| 86 |
+
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
|
| 87 |
+
|
| 88 |
+
[INFO|configuration_utils.py:993] 2024-08-31 19:15:57,500 >> loading configuration file generation_config.json from cache at G:\Dataset\cache\hub\models--NousResearch--Meta-Llama-3.1-8B-Instruct\snapshots\d10aef7999a2b5ba950ab3974312feeedbfe0b77\generation_config.json
|
| 89 |
+
|
| 90 |
+
[INFO|configuration_utils.py:1038] 2024-08-31 19:15:57,502 >> Generate config GenerationConfig {
|
| 91 |
+
"bos_token_id": 128000,
|
| 92 |
+
"do_sample": true,
|
| 93 |
+
"eos_token_id": [
|
| 94 |
+
128001,
|
| 95 |
+
128008,
|
| 96 |
+
128009
|
| 97 |
+
],
|
| 98 |
+
"temperature": 0.6,
|
| 99 |
+
"top_p": 0.9
|
| 100 |
+
}
|
| 101 |
+
|
| 102 |
+
|
| 103 |
+
[WARNING|quantizer_bnb_4bit.py:305] 2024-08-31 19:15:57,597 >> You are calling `save_pretrained` to a 4-bit converted model, but your `bitsandbytes` version doesn't support it. If you want to save 4-bit models, make sure to have `bitsandbytes>=0.41.3` installed.
|
| 104 |
+
|
| 105 |
+
[INFO|checkpointing.py:103] 2024-08-31 19:15:57,598 >> Gradient checkpointing enabled.
|
| 106 |
+
|
| 107 |
+
[INFO|attention.py:82] 2024-08-31 19:15:57,598 >> Using FlashAttention-2 for faster training and inference.
|
| 108 |
+
|
| 109 |
+
[INFO|adapter.py:302] 2024-08-31 19:15:57,598 >> Upcasting trainable params to float32.
|
| 110 |
+
|
| 111 |
+
[INFO|adapter.py:158] 2024-08-31 19:15:57,598 >> Fine-tuning method: LoRA
|
| 112 |
+
|
| 113 |
+
[INFO|adapter.py:203] 2024-08-31 19:15:58,444 >> Loaded adapter(s): saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP
|
| 114 |
+
|
| 115 |
+
[INFO|loader.py:196] 2024-08-31 19:15:58,454 >> trainable params: 83,886,080 || all params: 8,114,147,328 || trainable%: 1.0338
|
| 116 |
+
|
| 117 |
+
[INFO|trainer.py:648] 2024-08-31 19:15:58,522 >> Using auto half precision backend
|
| 118 |
+
|
| 119 |
+
[INFO|trainer.py:2134] 2024-08-31 19:15:58,646 >> ***** Running training *****
|
| 120 |
+
|
| 121 |
+
[INFO|trainer.py:2135] 2024-08-31 19:15:58,646 >> Num examples = 83
|
| 122 |
+
|
| 123 |
+
[INFO|trainer.py:2136] 2024-08-31 19:15:58,646 >> Num Epochs = 1
|
| 124 |
+
|
| 125 |
+
[INFO|trainer.py:2137] 2024-08-31 19:15:58,647 >> Instantaneous batch size per device = 1
|
| 126 |
+
|
| 127 |
+
[INFO|trainer.py:2140] 2024-08-31 19:15:58,647 >> Total train batch size (w. parallel, distributed & accumulation) = 1
|
| 128 |
+
|
| 129 |
+
[INFO|trainer.py:2141] 2024-08-31 19:15:58,647 >> Gradient Accumulation steps = 1
|
| 130 |
+
|
| 131 |
+
[INFO|trainer.py:2142] 2024-08-31 19:15:58,647 >> Total optimization steps = 83
|
| 132 |
+
|
| 133 |
+
[INFO|trainer.py:2143] 2024-08-31 19:15:58,649 >> Number of trainable parameters = 83,886,080
|
| 134 |
+
|
| 135 |
+
[INFO|callbacks.py:320] 2024-08-31 19:16:06,578 >> {'loss': 1.4781, 'learning_rate': 4.8230e-05, 'epoch': 0.12, 'throughput': 1118.38}
|
| 136 |
+
|
| 137 |
+
[INFO|callbacks.py:320] 2024-08-31 19:16:13,176 >> {'loss': 1.4732, 'learning_rate': 4.3172e-05, 'epoch': 0.24, 'throughput': 1219.49}
|
| 138 |
+
|
| 139 |
+
[INFO|callbacks.py:320] 2024-08-31 19:16:19,792 >> {'loss': 1.3140, 'learning_rate': 3.5542e-05, 'epoch': 0.36, 'throughput': 1301.78}
|
| 140 |
+
|
| 141 |
+
[INFO|callbacks.py:320] 2024-08-31 19:16:25,955 >> {'loss': 1.2266, 'learning_rate': 2.6419e-05, 'epoch': 0.48, 'throughput': 1322.02}
|
| 142 |
+
|
| 143 |
+
[INFO|callbacks.py:320] 2024-08-31 19:16:31,576 >> {'loss': 1.0201, 'learning_rate': 1.7095e-05, 'epoch': 0.60, 'throughput': 1319.87}
|
| 144 |
+
|
| 145 |
+
[INFO|callbacks.py:320] 2024-08-31 19:16:37,779 >> {'loss': 1.4448, 'learning_rate': 8.8901e-06, 'epoch': 0.72, 'throughput': 1318.76}
|
| 146 |
+
|
| 147 |
+
[INFO|callbacks.py:320] 2024-08-31 19:16:45,117 >> {'loss': 1.1615, 'learning_rate': 2.9659e-06, 'epoch': 0.84, 'throughput': 1347.76}
|
| 148 |
+
|
| 149 |
+
[INFO|callbacks.py:320] 2024-08-31 19:16:52,319 >> {'loss': 1.2626, 'learning_rate': 1.6100e-07, 'epoch': 0.96, 'throughput': 1363.67}
|
| 150 |
+
|
| 151 |
+
[INFO|trainer.py:3503] 2024-08-31 19:16:54,139 >> Saving model checkpoint to saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP-DPO\checkpoint-83
|
| 152 |
+
|
| 153 |
+
[INFO|configuration_utils.py:733] 2024-08-31 19:16:54,398 >> loading configuration file config.json from cache at G:\Dataset\cache\hub\models--NousResearch--Meta-Llama-3.1-8B-Instruct\snapshots\d10aef7999a2b5ba950ab3974312feeedbfe0b77\config.json
|
| 154 |
+
|
| 155 |
+
[INFO|configuration_utils.py:800] 2024-08-31 19:16:54,401 >> Model config LlamaConfig {
|
| 156 |
+
"architectures": [
|
| 157 |
+
"LlamaForCausalLM"
|
| 158 |
+
],
|
| 159 |
+
"attention_bias": false,
|
| 160 |
+
"attention_dropout": 0.0,
|
| 161 |
+
"bos_token_id": 128000,
|
| 162 |
+
"eos_token_id": [
|
| 163 |
+
128001,
|
| 164 |
+
128008,
|
| 165 |
+
128009
|
| 166 |
+
],
|
| 167 |
+
"hidden_act": "silu",
|
| 168 |
+
"hidden_size": 4096,
|
| 169 |
+
"initializer_range": 0.02,
|
| 170 |
+
"intermediate_size": 14336,
|
| 171 |
+
"max_position_embeddings": 131072,
|
| 172 |
+
"mlp_bias": false,
|
| 173 |
+
"model_type": "llama",
|
| 174 |
+
"num_attention_heads": 32,
|
| 175 |
+
"num_hidden_layers": 32,
|
| 176 |
+
"num_key_value_heads": 8,
|
| 177 |
+
"pretraining_tp": 1,
|
| 178 |
+
"rms_norm_eps": 1e-05,
|
| 179 |
+
"rope_scaling": {
|
| 180 |
+
"factor": 8.0,
|
| 181 |
+
"high_freq_factor": 4.0,
|
| 182 |
+
"low_freq_factor": 1.0,
|
| 183 |
+
"original_max_position_embeddings": 8192,
|
| 184 |
+
"rope_type": "llama3"
|
| 185 |
+
},
|
| 186 |
+
"rope_theta": 500000.0,
|
| 187 |
+
"tie_word_embeddings": false,
|
| 188 |
+
"torch_dtype": "bfloat16",
|
| 189 |
+
"transformers_version": "4.43.3",
|
| 190 |
+
"use_cache": true,
|
| 191 |
+
"vocab_size": 128256
|
| 192 |
+
}
|
| 193 |
+
|
| 194 |
+
|
| 195 |
+
[INFO|tokenization_utils_base.py:2702] 2024-08-31 19:16:54,664 >> tokenizer config file saved in saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP-DPO\checkpoint-83\tokenizer_config.json
|
| 196 |
+
|
| 197 |
+
[INFO|tokenization_utils_base.py:2711] 2024-08-31 19:16:54,664 >> Special tokens file saved in saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP-DPO\checkpoint-83\special_tokens_map.json
|
| 198 |
+
|
| 199 |
+
[INFO|trainer.py:2394] 2024-08-31 19:16:54,983 >>
|
| 200 |
+
|
| 201 |
+
Training completed. Do not forget to share your model on huggingface.co/models =)
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
|
| 205 |
+
[INFO|trainer.py:3503] 2024-08-31 19:16:54,987 >> Saving model checkpoint to saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP-DPO
|
| 206 |
+
|
| 207 |
+
[INFO|configuration_utils.py:733] 2024-08-31 19:16:55,209 >> loading configuration file config.json from cache at G:\Dataset\cache\hub\models--NousResearch--Meta-Llama-3.1-8B-Instruct\snapshots\d10aef7999a2b5ba950ab3974312feeedbfe0b77\config.json
|
| 208 |
+
|
| 209 |
+
[INFO|configuration_utils.py:800] 2024-08-31 19:16:55,210 >> Model config LlamaConfig {
|
| 210 |
+
"architectures": [
|
| 211 |
+
"LlamaForCausalLM"
|
| 212 |
+
],
|
| 213 |
+
"attention_bias": false,
|
| 214 |
+
"attention_dropout": 0.0,
|
| 215 |
+
"bos_token_id": 128000,
|
| 216 |
+
"eos_token_id": [
|
| 217 |
+
128001,
|
| 218 |
+
128008,
|
| 219 |
+
128009
|
| 220 |
+
],
|
| 221 |
+
"hidden_act": "silu",
|
| 222 |
+
"hidden_size": 4096,
|
| 223 |
+
"initializer_range": 0.02,
|
| 224 |
+
"intermediate_size": 14336,
|
| 225 |
+
"max_position_embeddings": 131072,
|
| 226 |
+
"mlp_bias": false,
|
| 227 |
+
"model_type": "llama",
|
| 228 |
+
"num_attention_heads": 32,
|
| 229 |
+
"num_hidden_layers": 32,
|
| 230 |
+
"num_key_value_heads": 8,
|
| 231 |
+
"pretraining_tp": 1,
|
| 232 |
+
"rms_norm_eps": 1e-05,
|
| 233 |
+
"rope_scaling": {
|
| 234 |
+
"factor": 8.0,
|
| 235 |
+
"high_freq_factor": 4.0,
|
| 236 |
+
"low_freq_factor": 1.0,
|
| 237 |
+
"original_max_position_embeddings": 8192,
|
| 238 |
+
"rope_type": "llama3"
|
| 239 |
+
},
|
| 240 |
+
"rope_theta": 500000.0,
|
| 241 |
+
"tie_word_embeddings": false,
|
| 242 |
+
"torch_dtype": "bfloat16",
|
| 243 |
+
"transformers_version": "4.43.3",
|
| 244 |
+
"use_cache": true,
|
| 245 |
+
"vocab_size": 128256
|
| 246 |
+
}
|
| 247 |
+
|
| 248 |
+
|
| 249 |
+
[INFO|tokenization_utils_base.py:2702] 2024-08-31 19:17:02,183 >> tokenizer config file saved in saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP-DPO\tokenizer_config.json
|
| 250 |
+
|
| 251 |
+
[INFO|tokenization_utils_base.py:2711] 2024-08-31 19:17:02,184 >> Special tokens file saved in saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP-DPO\special_tokens_map.json
|
| 252 |
+
|
| 253 |
+
[WARNING|ploting.py:89] 2024-08-31 19:17:02,350 >> No metric eval_loss to plot.
|
| 254 |
+
|
| 255 |
+
[INFO|modelcard.py:449] 2024-08-31 19:17:02,400 >> Dropping the following result as it does not have all the necessary fields:
|
| 256 |
+
{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
|
| 257 |
+
|
Luminia-8B-RP-DPO/special_tokens_map.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin_of_text|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|eot_id|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|eot_id|>"
|
| 17 |
+
}
|
Luminia-8B-RP-DPO/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Luminia-8B-RP-DPO/tokenizer_config.json
ADDED
|
@@ -0,0 +1,2065 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"128000": {
|
| 4 |
+
"content": "<|begin_of_text|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"128001": {
|
| 12 |
+
"content": "<|end_of_text|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"128002": {
|
| 20 |
+
"content": "<|reserved_special_token_0|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"128003": {
|
| 28 |
+
"content": "<|reserved_special_token_1|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128004": {
|
| 36 |
+
"content": "<|finetune_right_pad_id|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"128005": {
|
| 44 |
+
"content": "<|reserved_special_token_2|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"128006": {
|
| 52 |
+
"content": "<|start_header_id|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"128007": {
|
| 60 |
+
"content": "<|end_header_id|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"128008": {
|
| 68 |
+
"content": "<|eom_id|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"128009": {
|
| 76 |
+
"content": "<|eot_id|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"128010": {
|
| 84 |
+
"content": "<|python_tag|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"128011": {
|
| 92 |
+
"content": "<|reserved_special_token_3|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"128012": {
|
| 100 |
+
"content": "<|reserved_special_token_4|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"128013": {
|
| 108 |
+
"content": "<|reserved_special_token_5|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"128014": {
|
| 116 |
+
"content": "<|reserved_special_token_6|>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"128015": {
|
| 124 |
+
"content": "<|reserved_special_token_7|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"128016": {
|
| 132 |
+
"content": "<|reserved_special_token_8|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"128017": {
|
| 140 |
+
"content": "<|reserved_special_token_9|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"128018": {
|
| 148 |
+
"content": "<|reserved_special_token_10|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"128019": {
|
| 156 |
+
"content": "<|reserved_special_token_11|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"128020": {
|
| 164 |
+
"content": "<|reserved_special_token_12|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"128021": {
|
| 172 |
+
"content": "<|reserved_special_token_13|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"128022": {
|
| 180 |
+
"content": "<|reserved_special_token_14|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"128023": {
|
| 188 |
+
"content": "<|reserved_special_token_15|>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"128024": {
|
| 196 |
+
"content": "<|reserved_special_token_16|>",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"128025": {
|
| 204 |
+
"content": "<|reserved_special_token_17|>",
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"normalized": false,
|
| 207 |
+
"rstrip": false,
|
| 208 |
+
"single_word": false,
|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
+
"128026": {
|
| 212 |
+
"content": "<|reserved_special_token_18|>",
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"normalized": false,
|
| 215 |
+
"rstrip": false,
|
| 216 |
+
"single_word": false,
|
| 217 |
+
"special": true
|
| 218 |
+
},
|
| 219 |
+
"128027": {
|
| 220 |
+
"content": "<|reserved_special_token_19|>",
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"normalized": false,
|
| 223 |
+
"rstrip": false,
|
| 224 |
+
"single_word": false,
|
| 225 |
+
"special": true
|
| 226 |
+
},
|
| 227 |
+
"128028": {
|
| 228 |
+
"content": "<|reserved_special_token_20|>",
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"normalized": false,
|
| 231 |
+
"rstrip": false,
|
| 232 |
+
"single_word": false,
|
| 233 |
+
"special": true
|
| 234 |
+
},
|
| 235 |
+
"128029": {
|
| 236 |
+
"content": "<|reserved_special_token_21|>",
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"normalized": false,
|
| 239 |
+
"rstrip": false,
|
| 240 |
+
"single_word": false,
|
| 241 |
+
"special": true
|
| 242 |
+
},
|
| 243 |
+
"128030": {
|
| 244 |
+
"content": "<|reserved_special_token_22|>",
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"normalized": false,
|
| 247 |
+
"rstrip": false,
|
| 248 |
+
"single_word": false,
|
| 249 |
+
"special": true
|
| 250 |
+
},
|
| 251 |
+
"128031": {
|
| 252 |
+
"content": "<|reserved_special_token_23|>",
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"normalized": false,
|
| 255 |
+
"rstrip": false,
|
| 256 |
+
"single_word": false,
|
| 257 |
+
"special": true
|
| 258 |
+
},
|
| 259 |
+
"128032": {
|
| 260 |
+
"content": "<|reserved_special_token_24|>",
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"normalized": false,
|
| 263 |
+
"rstrip": false,
|
| 264 |
+
"single_word": false,
|
| 265 |
+
"special": true
|
| 266 |
+
},
|
| 267 |
+
"128033": {
|
| 268 |
+
"content": "<|reserved_special_token_25|>",
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"normalized": false,
|
| 271 |
+
"rstrip": false,
|
| 272 |
+
"single_word": false,
|
| 273 |
+
"special": true
|
| 274 |
+
},
|
| 275 |
+
"128034": {
|
| 276 |
+
"content": "<|reserved_special_token_26|>",
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"normalized": false,
|
| 279 |
+
"rstrip": false,
|
| 280 |
+
"single_word": false,
|
| 281 |
+
"special": true
|
| 282 |
+
},
|
| 283 |
+
"128035": {
|
| 284 |
+
"content": "<|reserved_special_token_27|>",
|
| 285 |
+
"lstrip": false,
|
| 286 |
+
"normalized": false,
|
| 287 |
+
"rstrip": false,
|
| 288 |
+
"single_word": false,
|
| 289 |
+
"special": true
|
| 290 |
+
},
|
| 291 |
+
"128036": {
|
| 292 |
+
"content": "<|reserved_special_token_28|>",
|
| 293 |
+
"lstrip": false,
|
| 294 |
+
"normalized": false,
|
| 295 |
+
"rstrip": false,
|
| 296 |
+
"single_word": false,
|
| 297 |
+
"special": true
|
| 298 |
+
},
|
| 299 |
+
"128037": {
|
| 300 |
+
"content": "<|reserved_special_token_29|>",
|
| 301 |
+
"lstrip": false,
|
| 302 |
+
"normalized": false,
|
| 303 |
+
"rstrip": false,
|
| 304 |
+
"single_word": false,
|
| 305 |
+
"special": true
|
| 306 |
+
},
|
| 307 |
+
"128038": {
|
| 308 |
+
"content": "<|reserved_special_token_30|>",
|
| 309 |
+
"lstrip": false,
|
| 310 |
+
"normalized": false,
|
| 311 |
+
"rstrip": false,
|
| 312 |
+
"single_word": false,
|
| 313 |
+
"special": true
|
| 314 |
+
},
|
| 315 |
+
"128039": {
|
| 316 |
+
"content": "<|reserved_special_token_31|>",
|
| 317 |
+
"lstrip": false,
|
| 318 |
+
"normalized": false,
|
| 319 |
+
"rstrip": false,
|
| 320 |
+
"single_word": false,
|
| 321 |
+
"special": true
|
| 322 |
+
},
|
| 323 |
+
"128040": {
|
| 324 |
+
"content": "<|reserved_special_token_32|>",
|
| 325 |
+
"lstrip": false,
|
| 326 |
+
"normalized": false,
|
| 327 |
+
"rstrip": false,
|
| 328 |
+
"single_word": false,
|
| 329 |
+
"special": true
|
| 330 |
+
},
|
| 331 |
+
"128041": {
|
| 332 |
+
"content": "<|reserved_special_token_33|>",
|
| 333 |
+
"lstrip": false,
|
| 334 |
+
"normalized": false,
|
| 335 |
+
"rstrip": false,
|
| 336 |
+
"single_word": false,
|
| 337 |
+
"special": true
|
| 338 |
+
},
|
| 339 |
+
"128042": {
|
| 340 |
+
"content": "<|reserved_special_token_34|>",
|
| 341 |
+
"lstrip": false,
|
| 342 |
+
"normalized": false,
|
| 343 |
+
"rstrip": false,
|
| 344 |
+
"single_word": false,
|
| 345 |
+
"special": true
|
| 346 |
+
},
|
| 347 |
+
"128043": {
|
| 348 |
+
"content": "<|reserved_special_token_35|>",
|
| 349 |
+
"lstrip": false,
|
| 350 |
+
"normalized": false,
|
| 351 |
+
"rstrip": false,
|
| 352 |
+
"single_word": false,
|
| 353 |
+
"special": true
|
| 354 |
+
},
|
| 355 |
+
"128044": {
|
| 356 |
+
"content": "<|reserved_special_token_36|>",
|
| 357 |
+
"lstrip": false,
|
| 358 |
+
"normalized": false,
|
| 359 |
+
"rstrip": false,
|
| 360 |
+
"single_word": false,
|
| 361 |
+
"special": true
|
| 362 |
+
},
|
| 363 |
+
"128045": {
|
| 364 |
+
"content": "<|reserved_special_token_37|>",
|
| 365 |
+
"lstrip": false,
|
| 366 |
+
"normalized": false,
|
| 367 |
+
"rstrip": false,
|
| 368 |
+
"single_word": false,
|
| 369 |
+
"special": true
|
| 370 |
+
},
|
| 371 |
+
"128046": {
|
| 372 |
+
"content": "<|reserved_special_token_38|>",
|
| 373 |
+
"lstrip": false,
|
| 374 |
+
"normalized": false,
|
| 375 |
+
"rstrip": false,
|
| 376 |
+
"single_word": false,
|
| 377 |
+
"special": true
|
| 378 |
+
},
|
| 379 |
+
"128047": {
|
| 380 |
+
"content": "<|reserved_special_token_39|>",
|
| 381 |
+
"lstrip": false,
|
| 382 |
+
"normalized": false,
|
| 383 |
+
"rstrip": false,
|
| 384 |
+
"single_word": false,
|
| 385 |
+
"special": true
|
| 386 |
+
},
|
| 387 |
+
"128048": {
|
| 388 |
+
"content": "<|reserved_special_token_40|>",
|
| 389 |
+
"lstrip": false,
|
| 390 |
+
"normalized": false,
|
| 391 |
+
"rstrip": false,
|
| 392 |
+
"single_word": false,
|
| 393 |
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| 1850 |
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| 1859 |
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| 1860 |
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|
| 1861 |
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|
| 1866 |
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|
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|
| 1868 |
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| 1869 |
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| 1870 |
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| 1876 |
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|
| 1882 |
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|
| 1883 |
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|
| 1884 |
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|
| 1885 |
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|
| 1886 |
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|
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|
| 1889 |
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|
| 1890 |
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|
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|
| 1892 |
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|
| 1893 |
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|
| 1898 |
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|
| 1900 |
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| 1901 |
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|
| 1908 |
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| 1909 |
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| 1914 |
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|
| 1916 |
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| 1917 |
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| 1920 |
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| 1921 |
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| 1922 |
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|
| 1924 |
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| 1925 |
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| 1926 |
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| 1927 |
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| 1928 |
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| 1929 |
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|
| 1930 |
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| 1931 |
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|
| 1932 |
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|
| 1933 |
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| 1934 |
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| 1935 |
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| 1936 |
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| 1937 |
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|
| 1938 |
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|
| 1939 |
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|
| 1940 |
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|
| 1941 |
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| 1942 |
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|
| 1943 |
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| 1944 |
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| 1945 |
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| 1946 |
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| 1947 |
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|
| 1948 |
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|
| 1949 |
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| 1950 |
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|
| 1951 |
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| 1952 |
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| 1953 |
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|
| 1954 |
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| 1955 |
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|
| 1956 |
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|
| 1957 |
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| 1958 |
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| 1959 |
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| 1960 |
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| 1961 |
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| 1962 |
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| 1963 |
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| 1964 |
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| 1965 |
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| 1966 |
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| 1967 |
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| 1968 |
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| 1969 |
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|
| 1970 |
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| 1971 |
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|
| 1972 |
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| 1973 |
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| 1974 |
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| 1977 |
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|
| 1978 |
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|
| 1979 |
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|
| 1980 |
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|
| 1981 |
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| 1982 |
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|
| 1983 |
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| 1984 |
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| 1985 |
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|
| 1986 |
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|
| 1987 |
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|
| 1988 |
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|
| 1989 |
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| 1990 |
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| 1992 |
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| 1993 |
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| 1994 |
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| 1995 |
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|
| 1996 |
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|
| 1997 |
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| 1998 |
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| 2000 |
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| 2001 |
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|
| 2002 |
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|
| 2003 |
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|
| 2004 |
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|
| 2005 |
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| 2008 |
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| 2009 |
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|
| 2010 |
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|
| 2011 |
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|
| 2012 |
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|
| 2013 |
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| 2017 |
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|
| 2018 |
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|
| 2019 |
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|
| 2020 |
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|
| 2021 |
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| 2022 |
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| 2026 |
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| 2027 |
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| 2028 |
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| 2029 |
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| 2030 |
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| 2033 |
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| 2034 |
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| 2036 |
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"content": "<|reserved_special_token_246|>",
|
| 2037 |
+
"lstrip": false,
|
| 2038 |
+
"normalized": false,
|
| 2039 |
+
"rstrip": false,
|
| 2040 |
+
"single_word": false,
|
| 2041 |
+
"special": true
|
| 2042 |
+
},
|
| 2043 |
+
"128255": {
|
| 2044 |
+
"content": "<|reserved_special_token_247|>",
|
| 2045 |
+
"lstrip": false,
|
| 2046 |
+
"normalized": false,
|
| 2047 |
+
"rstrip": false,
|
| 2048 |
+
"single_word": false,
|
| 2049 |
+
"special": true
|
| 2050 |
+
}
|
| 2051 |
+
},
|
| 2052 |
+
"bos_token": "<|begin_of_text|>",
|
| 2053 |
+
"chat_template": "{% set system_message = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n' %}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '### Instruction:\n' + content + '\n\n### Response:\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|eot_id|>' + '\n\n' }}{% endif %}{% endfor %}",
|
| 2054 |
+
"clean_up_tokenization_spaces": true,
|
| 2055 |
+
"eos_token": "<|eot_id|>",
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
+
"model_max_length": 131072,
|
| 2061 |
+
"pad_token": "<|eot_id|>",
|
| 2062 |
+
"padding_side": "right",
|
| 2063 |
+
"split_special_tokens": false,
|
| 2064 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2065 |
+
}
|
Luminia-8B-RP-DPO/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
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| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"num_input_tokens_seen": 75616,
|
| 4 |
+
"total_flos": 3443013082939392.0,
|
| 5 |
+
"train_loss": 1.2913809109883136,
|
| 6 |
+
"train_runtime": 56.3341,
|
| 7 |
+
"train_samples_per_second": 1.473,
|
| 8 |
+
"train_steps_per_second": 1.473
|
| 9 |
+
}
|
Luminia-8B-RP-DPO/trainer_log.jsonl
ADDED
|
@@ -0,0 +1,9 @@
|
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| 1 |
+
{"current_steps": 10, "total_steps": 83, "loss": 1.4781, "accuracy": 0.8999999761581421, "learning_rate": 4.8230451807939135e-05, "epoch": 0.12048192771084337, "percentage": 12.05, "elapsed_time": "0:00:07", "remaining_time": "0:00:57", "throughput": 1118.38, "total_tokens": 8864}
|
| 2 |
+
{"current_steps": 20, "total_steps": 83, "loss": 1.4732, "accuracy": 1.0, "learning_rate": 4.3172311296078595e-05, "epoch": 0.24096385542168675, "percentage": 24.1, "elapsed_time": "0:00:14", "remaining_time": "0:00:45", "throughput": 1219.49, "total_tokens": 17712}
|
| 3 |
+
{"current_steps": 30, "total_steps": 83, "loss": 1.314, "accuracy": 1.0, "learning_rate": 3.55416283362546e-05, "epoch": 0.3614457831325301, "percentage": 36.14, "elapsed_time": "0:00:21", "remaining_time": "0:00:37", "throughput": 1301.78, "total_tokens": 27520}
|
| 4 |
+
{"current_steps": 40, "total_steps": 83, "loss": 1.2266, "accuracy": 1.0, "learning_rate": 2.6418631827326857e-05, "epoch": 0.4819277108433735, "percentage": 48.19, "elapsed_time": "0:00:27", "remaining_time": "0:00:29", "throughput": 1322.02, "total_tokens": 36096}
|
| 5 |
+
{"current_steps": 50, "total_steps": 83, "loss": 1.0201, "accuracy": 1.0, "learning_rate": 1.70948083275794e-05, "epoch": 0.6024096385542169, "percentage": 60.24, "elapsed_time": "0:00:32", "remaining_time": "0:00:21", "throughput": 1319.87, "total_tokens": 43456}
|
| 6 |
+
{"current_steps": 60, "total_steps": 83, "loss": 1.4448, "accuracy": 1.0, "learning_rate": 8.890074238378074e-06, "epoch": 0.7228915662650602, "percentage": 72.29, "elapsed_time": "0:00:39", "remaining_time": "0:00:14", "throughput": 1318.76, "total_tokens": 51600}
|
| 7 |
+
{"current_steps": 70, "total_steps": 83, "loss": 1.1615, "accuracy": 1.0, "learning_rate": 2.9659233496337786e-06, "epoch": 0.8433734939759037, "percentage": 84.34, "elapsed_time": "0:00:46", "remaining_time": "0:00:08", "throughput": 1347.76, "total_tokens": 62624}
|
| 8 |
+
{"current_steps": 80, "total_steps": 83, "loss": 1.2626, "accuracy": 1.0, "learning_rate": 1.6100130092037703e-07, "epoch": 0.963855421686747, "percentage": 96.39, "elapsed_time": "0:00:53", "remaining_time": "0:00:02", "throughput": 1363.67, "total_tokens": 73184}
|
| 9 |
+
{"current_steps": 83, "total_steps": 83, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "0:00:56", "remaining_time": "0:00:00", "throughput": 1342.33, "total_tokens": 75616}
|
Luminia-8B-RP-DPO/trainer_state.json
ADDED
|
@@ -0,0 +1,187 @@
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|
| 1 |
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|
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| 171 |
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| 172 |
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| 173 |
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|
| 174 |
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|
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|
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| 179 |
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|
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Luminia-8B-RP-DPO/training_args.bin
ADDED
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Luminia-8B-RP-DPO/training_args.yaml
ADDED
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@@ -0,0 +1,40 @@
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| 1 |
+
adapter_name_or_path: saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP
|
| 2 |
+
bf16: true
|
| 3 |
+
cutoff_len: 4000
|
| 4 |
+
dataset: qa-unc-dpo
|
| 5 |
+
dataset_dir: data
|
| 6 |
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ddp_timeout: 180000000
|
| 7 |
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do_train: true
|
| 8 |
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finetuning_type: lora
|
| 9 |
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flash_attn: fa2
|
| 10 |
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gradient_accumulation_steps: 1
|
| 11 |
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include_num_input_tokens_seen: true
|
| 12 |
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learning_rate: 5.0e-05
|
| 13 |
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logging_steps: 10
|
| 14 |
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lora_alpha: 64
|
| 15 |
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lora_dropout: 0.35
|
| 16 |
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lora_rank: 32
|
| 17 |
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lora_target: all
|
| 18 |
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lr_scheduler_type: cosine
|
| 19 |
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max_grad_norm: 1.0
|
| 20 |
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max_samples: 100000
|
| 21 |
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model_name_or_path: NousResearch/Meta-Llama-3.1-8B-Instruct
|
| 22 |
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neftune_noise_alpha: 5
|
| 23 |
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num_train_epochs: 1.0
|
| 24 |
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optim: adamw_8bit
|
| 25 |
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output_dir: saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP-DPO
|
| 26 |
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packing: true
|
| 27 |
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per_device_train_batch_size: 1
|
| 28 |
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plot_loss: true
|
| 29 |
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pref_beta: 0.1
|
| 30 |
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pref_ftx: 0
|
| 31 |
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pref_loss: orpo
|
| 32 |
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preprocessing_num_workers: 16
|
| 33 |
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quantization_bit: 4
|
| 34 |
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quantization_method: bitsandbytes
|
| 35 |
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report_to: none
|
| 36 |
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rope_scaling: linear
|
| 37 |
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save_steps: 1000
|
| 38 |
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stage: dpo
|
| 39 |
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template: alpaca
|
| 40 |
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warmup_steps: 0
|
Luminia-8B-RP-DPO/training_loss.png
ADDED
|
Luminia-8B-RP-DPO/training_rewards_accuracies.png
ADDED
|
Luminia-8B-RP/adapter_config.json
CHANGED
|
@@ -20,13 +20,13 @@
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| 20 |
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|
| 30 |
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| 32 |
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|
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