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README.md ADDED
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+ ---
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+ license: other
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+ library_name: peft
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+ tags:
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+ - llama-factory
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+ - lora
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+ - generated_from_trainer
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+ base_model: Qwen/Qwen1.5-4B-Chat
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+ model-index:
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+ - name: sft_seed
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # sft_seed
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+
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+ This model is a fine-tuned version of [/datas/huggingface/Qwen1.5-4B-Chat](https://huggingface.co//datas/huggingface/Qwen1.5-4B-Chat) on the LangGPT_community and the LangGPT_seed datasets.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 10.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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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": "Qwen/Qwen1.5-4B-Chat",
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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": 16,
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+ "lora_dropout": 0,
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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": 8,
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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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+ "q_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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+ {
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+ "epoch": 9.987995198079231,
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+ "total_flos": 8.185270082173747e+17,
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+ "train_loss": 0.7521515275423344,
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+ "train_runtime": 19400.1091,
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+ "train_samples_per_second": 1.717,
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+ "train_steps_per_second": 0.107
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+ }
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+ 05/20/2024 11:37:53 - INFO - transformers.tokenization_utils_base - loading file vocab.json
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+
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+ 05/20/2024 11:37:53 - INFO - transformers.tokenization_utils_base - loading file merges.txt
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+
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+ 05/20/2024 11:37:53 - INFO - transformers.tokenization_utils_base - loading file tokenizer.json
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+
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+ 05/20/2024 11:37:53 - INFO - transformers.tokenization_utils_base - loading file added_tokens.json
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+
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+ 05/20/2024 11:37:53 - INFO - transformers.tokenization_utils_base - loading file special_tokens_map.json
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+
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+ 05/20/2024 11:37:53 - INFO - transformers.tokenization_utils_base - loading file tokenizer_config.json
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+
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+ 05/20/2024 11:37:54 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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+
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+ 05/20/2024 11:37:54 - INFO - llmtuner.data.loader - Loading dataset /datas/wangm/LLM4LangGPT/constructed_datasets/LangGPT_community.jsonl...
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+
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+ 05/20/2024 11:37:54 - WARNING - llmtuner.data.utils - Checksum failed: missing SHA-1 hash value in dataset_info.json.
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+
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+ 05/20/2024 11:37:55 - INFO - llmtuner.data.loader - Loading dataset /datas/wangm/LLM4LangGPT/constructed_datasets/langgpt_seed.jsonl...
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+
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+ 05/20/2024 11:37:55 - WARNING - llmtuner.data.utils - Checksum failed: missing SHA-1 hash value in dataset_info.json.
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+
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+ 05/20/2024 11:38:03 - INFO - transformers.configuration_utils - loading configuration file /datas/huggingface/Qwen1.5-4B-Chat/config.json
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+
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+ 05/20/2024 11:38:03 - INFO - transformers.configuration_utils - Model config Qwen2Config {
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+ "_name_or_path": "/datas/huggingface/Qwen1.5-4B-Chat",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151645,
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+ "hidden_act": "silu",
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+ "hidden_size": 2560,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 6912,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 21,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 20,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 20,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 5000000.0,
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+ "sliding_window": 32768,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.40.2",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ }
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+
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+
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+ 05/20/2024 11:38:04 - INFO - transformers.modeling_utils - loading weights file /datas/huggingface/Qwen1.5-4B-Chat/model.safetensors.index.json
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+
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+ 05/20/2024 11:38:04 - INFO - transformers.modeling_utils - Instantiating Qwen2ForCausalLM model under default dtype torch.float16.
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+
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+ 05/20/2024 11:38:04 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151645,
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+ "use_cache": false
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+ }
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+
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+
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+ 05/20/2024 11:38:08 - INFO - transformers.modeling_utils - All model checkpoint weights were used when initializing Qwen2ForCausalLM.
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+
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+
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+ 05/20/2024 11:38:08 - INFO - transformers.modeling_utils - All the weights of Qwen2ForCausalLM were initialized from the model checkpoint at /datas/huggingface/Qwen1.5-4B-Chat.
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+ If your task is similar to the task the model of the checkpoint was trained on, you can already use Qwen2ForCausalLM for predictions without further training.
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+
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+ 05/20/2024 11:38:08 - INFO - transformers.generation.configuration_utils - loading configuration file /datas/huggingface/Qwen1.5-4B-Chat/generation_config.json
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+
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+ 05/20/2024 11:38:08 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
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+ "bos_token_id": 151643,
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 151645,
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+ 151643
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+ ],
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+ "top_p": 0.8
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+ }
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+
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+
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+ 05/20/2024 11:38:09 - INFO - llmtuner.model.utils.checkpointing - Gradient checkpointing enabled.
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+
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+ 05/20/2024 11:38:09 - INFO - llmtuner.model.utils.attention - Using torch SDPA for faster training and inference.
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+
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+ 05/20/2024 11:38:09 - INFO - llmtuner.model.adapter - Fine-tuning method: LoRA
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+
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+ 05/20/2024 11:38:09 - INFO - llmtuner.model.loader - trainable params: 3276800 || all params: 3953646080 || trainable%: 0.0829
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - Using auto half precision backend
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - ***** Running training *****
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - Num examples = 3,331
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - Num Epochs = 10
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - Instantaneous batch size per device = 2
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - Total train batch size (w. parallel, distributed & accumulation) = 16
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - Gradient Accumulation steps = 8
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - Total optimization steps = 2,080
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+
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+ 05/20/2024 11:38:09 - INFO - transformers.trainer - Number of trainable parameters = 3,276,800
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+
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+ 05/20/2024 11:38:55 - INFO - llmtuner.extras.callbacks - {'loss': 1.2537, 'learning_rate': 4.9999e-05, 'epoch': 0.02}
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+
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+ 05/20/2024 11:53:46 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-100
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+
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+ 05/20/2024 11:53:46 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-100/tokenizer_config.json
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+
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+ 05/20/2024 11:53:46 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-100/special_tokens_map.json
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+
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+ 05/20/2024 12:09:17 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-200
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+
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+ 05/20/2024 12:09:17 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-200/tokenizer_config.json
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+
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+ 05/20/2024 12:09:17 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-200/special_tokens_map.json
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+ 05/20/2024 16:14:01 - INFO - llmtuner.extras.callbacks - {'loss': 0.6575, 'learning_rate': 2.6061e-06, 'epoch': 8.52}
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+ 05/20/2024 16:14:45 - INFO - llmtuner.extras.callbacks - {'loss': 0.7457, 'learning_rate': 2.5228e-06, 'epoch': 8.55}
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+ 05/20/2024 16:16:17 - INFO - llmtuner.extras.callbacks - {'loss': 0.7442, 'learning_rate': 2.3601e-06, 'epoch': 8.60}
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+ 05/20/2024 16:17:03 - INFO - llmtuner.extras.callbacks - {'loss': 0.6743, 'learning_rate': 2.2806e-06, 'epoch': 8.62}
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+ 05/20/2024 16:17:50 - INFO - llmtuner.extras.callbacks - {'loss': 0.7338, 'learning_rate': 2.2025e-06, 'epoch': 8.64}
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+ 05/20/2024 16:17:50 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-1800
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+ 05/20/2024 16:17:50 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-1800/tokenizer_config.json
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+ 05/20/2024 16:17:50 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-1800/special_tokens_map.json
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+ 05/20/2024 16:18:35 - INFO - llmtuner.extras.callbacks - {'loss': 0.7514, 'learning_rate': 2.1257e-06, 'epoch': 8.67}
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+ 05/20/2024 16:19:24 - INFO - llmtuner.extras.callbacks - {'loss': 0.7774, 'learning_rate': 2.0501e-06, 'epoch': 8.69}
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+ 05/20/2024 16:20:12 - INFO - llmtuner.extras.callbacks - {'loss': 0.6895, 'learning_rate': 1.9759e-06, 'epoch': 8.72}
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+ 05/20/2024 16:21:00 - INFO - llmtuner.extras.callbacks - {'loss': 0.7218, 'learning_rate': 1.9030e-06, 'epoch': 8.74}
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+ 05/20/2024 16:21:47 - INFO - llmtuner.extras.callbacks - {'loss': 0.7553, 'learning_rate': 1.8314e-06, 'epoch': 8.76}
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+ 05/20/2024 16:22:34 - INFO - llmtuner.extras.callbacks - {'loss': 0.6779, 'learning_rate': 1.7612e-06, 'epoch': 8.79}
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+
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+ 05/20/2024 16:23:19 - INFO - llmtuner.extras.callbacks - {'loss': 0.6946, 'learning_rate': 1.6922e-06, 'epoch': 8.81}
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+
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+ 05/20/2024 16:24:07 - INFO - llmtuner.extras.callbacks - {'loss': 0.7149, 'learning_rate': 1.6246e-06, 'epoch': 8.84}
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+
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+ 05/20/2024 16:24:54 - INFO - llmtuner.extras.callbacks - {'loss': 0.6681, 'learning_rate': 1.5583e-06, 'epoch': 8.86}
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+
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+ 05/20/2024 16:25:40 - INFO - llmtuner.extras.callbacks - {'loss': 0.6519, 'learning_rate': 1.4934e-06, 'epoch': 8.88}
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+ 05/20/2024 16:26:28 - INFO - llmtuner.extras.callbacks - {'loss': 0.6957, 'learning_rate': 1.4298e-06, 'epoch': 8.91}
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+
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+ 05/20/2024 16:27:16 - INFO - llmtuner.extras.callbacks - {'loss': 0.6942, 'learning_rate': 1.3675e-06, 'epoch': 8.93}
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+ 05/20/2024 16:28:01 - INFO - llmtuner.extras.callbacks - {'loss': 0.6578, 'learning_rate': 1.3066e-06, 'epoch': 8.96}
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+ 05/20/2024 16:28:47 - INFO - llmtuner.extras.callbacks - {'loss': 0.6994, 'learning_rate': 1.2470e-06, 'epoch': 8.98}
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+
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+ 05/20/2024 16:29:36 - INFO - llmtuner.extras.callbacks - {'loss': 0.6430, 'learning_rate': 1.1888e-06, 'epoch': 9.00}
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+ 05/20/2024 16:30:21 - INFO - llmtuner.extras.callbacks - {'loss': 0.6307, 'learning_rate': 1.1320e-06, 'epoch': 9.03}
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+ 05/20/2024 16:31:08 - INFO - llmtuner.extras.callbacks - {'loss': 0.7088, 'learning_rate': 1.0765e-06, 'epoch': 9.05}
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+ 05/20/2024 16:31:54 - INFO - llmtuner.extras.callbacks - {'loss': 0.6603, 'learning_rate': 1.0224e-06, 'epoch': 9.08}
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+ 05/20/2024 16:32:42 - INFO - llmtuner.extras.callbacks - {'loss': 0.8255, 'learning_rate': 9.6961e-07, 'epoch': 9.10}
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+ 05/20/2024 16:33:28 - INFO - llmtuner.extras.callbacks - {'loss': 0.6834, 'learning_rate': 9.1823e-07, 'epoch': 9.12}
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+
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+ 05/20/2024 16:33:28 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-1900
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+ 05/20/2024 16:33:28 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-1900/tokenizer_config.json
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+ 05/20/2024 16:33:28 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-1900/special_tokens_map.json
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+
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+ 05/20/2024 16:34:13 - INFO - llmtuner.extras.callbacks - {'loss': 0.6365, 'learning_rate': 8.6822e-07, 'epoch': 9.15}
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+
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+ 05/20/2024 16:35:02 - INFO - llmtuner.extras.callbacks - {'loss': 0.7317, 'learning_rate': 8.1958e-07, 'epoch': 9.17}
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+
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+ 05/20/2024 16:35:47 - INFO - llmtuner.extras.callbacks - {'loss': 0.7410, 'learning_rate': 7.7233e-07, 'epoch': 9.20}
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+
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+ 05/20/2024 16:36:31 - INFO - llmtuner.extras.callbacks - {'loss': 0.6881, 'learning_rate': 7.2645e-07, 'epoch': 9.22}
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+
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+ 05/20/2024 16:37:17 - INFO - llmtuner.extras.callbacks - {'loss': 0.7350, 'learning_rate': 6.8196e-07, 'epoch': 9.24}
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+
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+ 05/20/2024 16:38:06 - INFO - llmtuner.extras.callbacks - {'loss': 0.7227, 'learning_rate': 6.3886e-07, 'epoch': 9.27}
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+
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+ 05/20/2024 16:38:51 - INFO - llmtuner.extras.callbacks - {'loss': 0.6810, 'learning_rate': 5.9715e-07, 'epoch': 9.29}
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+ 05/20/2024 16:39:37 - INFO - llmtuner.extras.callbacks - {'loss': 0.7081, 'learning_rate': 5.5683e-07, 'epoch': 9.32}
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+ 05/20/2024 16:40:29 - INFO - llmtuner.extras.callbacks - {'loss': 0.7064, 'learning_rate': 5.1790e-07, 'epoch': 9.34}
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+ 05/20/2024 16:41:17 - INFO - llmtuner.extras.callbacks - {'loss': 0.6829, 'learning_rate': 4.8037e-07, 'epoch': 9.36}
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+ 05/20/2024 16:42:01 - INFO - llmtuner.extras.callbacks - {'loss': 0.6814, 'learning_rate': 4.4423e-07, 'epoch': 9.39}
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+ 05/20/2024 16:42:49 - INFO - llmtuner.extras.callbacks - {'loss': 0.7690, 'learning_rate': 4.0950e-07, 'epoch': 9.41}
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+
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+ 05/20/2024 16:43:37 - INFO - llmtuner.extras.callbacks - {'loss': 0.7539, 'learning_rate': 3.7617e-07, 'epoch': 9.44}
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+
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+ 05/20/2024 16:44:23 - INFO - llmtuner.extras.callbacks - {'loss': 0.6506, 'learning_rate': 3.4425e-07, 'epoch': 9.46}
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+
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+ 05/20/2024 16:45:07 - INFO - llmtuner.extras.callbacks - {'loss': 0.6763, 'learning_rate': 3.1373e-07, 'epoch': 9.48}
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+
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+ 05/20/2024 16:45:51 - INFO - llmtuner.extras.callbacks - {'loss': 0.6776, 'learning_rate': 2.8461e-07, 'epoch': 9.51}
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+
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+ 05/20/2024 16:46:37 - INFO - llmtuner.extras.callbacks - {'loss': 0.7292, 'learning_rate': 2.5691e-07, 'epoch': 9.53}
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+
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+ 05/20/2024 16:47:23 - INFO - llmtuner.extras.callbacks - {'loss': 0.8111, 'learning_rate': 2.3062e-07, 'epoch': 9.56}
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+
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+ 05/20/2024 16:48:05 - INFO - llmtuner.extras.callbacks - {'loss': 0.6473, 'learning_rate': 2.0574e-07, 'epoch': 9.58}
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+
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+ 05/20/2024 16:48:54 - INFO - llmtuner.extras.callbacks - {'loss': 0.6774, 'learning_rate': 1.8228e-07, 'epoch': 9.60}
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+
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+ 05/20/2024 16:48:54 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-2000
1028
+
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+ 05/20/2024 16:48:54 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-2000/tokenizer_config.json
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+
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+ 05/20/2024 16:48:54 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/checkpoint-2000/special_tokens_map.json
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+
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+ 05/20/2024 16:49:40 - INFO - llmtuner.extras.callbacks - {'loss': 0.6782, 'learning_rate': 1.6023e-07, 'epoch': 9.63}
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+
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+ 05/20/2024 16:50:25 - INFO - llmtuner.extras.callbacks - {'loss': 0.6965, 'learning_rate': 1.3960e-07, 'epoch': 9.65}
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+
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+ 05/20/2024 16:51:10 - INFO - llmtuner.extras.callbacks - {'loss': 0.6496, 'learning_rate': 1.2038e-07, 'epoch': 9.68}
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+
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+ 05/20/2024 16:51:59 - INFO - llmtuner.extras.callbacks - {'loss': 0.6511, 'learning_rate': 1.0259e-07, 'epoch': 9.70}
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+
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+ 05/20/2024 16:52:49 - INFO - llmtuner.extras.callbacks - {'loss': 0.7524, 'learning_rate': 8.6210e-08, 'epoch': 9.72}
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+
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+ 05/20/2024 16:53:33 - INFO - llmtuner.extras.callbacks - {'loss': 0.6653, 'learning_rate': 7.1255e-08, 'epoch': 9.75}
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+
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+ 05/20/2024 16:54:18 - INFO - llmtuner.extras.callbacks - {'loss': 0.6718, 'learning_rate': 5.7722e-08, 'epoch': 9.77}
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+
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+ 05/20/2024 16:55:07 - INFO - llmtuner.extras.callbacks - {'loss': 0.7114, 'learning_rate': 4.5611e-08, 'epoch': 9.80}
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+
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+ 05/20/2024 16:55:54 - INFO - llmtuner.extras.callbacks - {'loss': 0.7125, 'learning_rate': 3.4924e-08, 'epoch': 9.82}
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+
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+ 05/20/2024 16:56:42 - INFO - llmtuner.extras.callbacks - {'loss': 0.6236, 'learning_rate': 2.5660e-08, 'epoch': 9.84}
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+
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+ 05/20/2024 16:57:30 - INFO - llmtuner.extras.callbacks - {'loss': 0.7353, 'learning_rate': 1.7820e-08, 'epoch': 9.87}
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+
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+ 05/20/2024 16:58:16 - INFO - llmtuner.extras.callbacks - {'loss': 0.7489, 'learning_rate': 1.1405e-08, 'epoch': 9.89}
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+
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+ 05/20/2024 16:59:10 - INFO - llmtuner.extras.callbacks - {'loss': 0.7743, 'learning_rate': 6.4157e-09, 'epoch': 9.92}
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+
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+ 05/20/2024 16:59:55 - INFO - llmtuner.extras.callbacks - {'loss': 0.6435, 'learning_rate': 2.8515e-09, 'epoch': 9.94}
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+
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+ 05/20/2024 17:00:41 - INFO - llmtuner.extras.callbacks - {'loss': 0.7375, 'learning_rate': 7.1289e-10, 'epoch': 9.96}
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+
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+ 05/20/2024 17:01:29 - INFO - llmtuner.extras.callbacks - {'loss': 0.7238, 'learning_rate': 0.0000e+00, 'epoch': 9.99}
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+
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+ 05/20/2024 17:01:29 - INFO - transformers.trainer -
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+
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+ Training completed. Do not forget to share your model on huggingface.co/models =)
1068
+
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+
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+
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+ 05/20/2024 17:01:29 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed
1072
+
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+ 05/20/2024 17:01:29 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/tokenizer_config.json
1074
+
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+ 05/20/2024 17:01:29 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed/special_tokens_map.json
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+
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+ 05/20/2024 17:01:29 - INFO - transformers.modelcard - Dropping the following result as it does not have all the necessary fields:
1078
+ {'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
1079
+
special_tokens_map.json ADDED
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+ {
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+ "additional_special_tokens": [
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+ "<|im_start|>",
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+ "<|im_end|>"
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+ }
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+ }
tokenizer.json ADDED
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+ {
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+ "added_tokens_decoder": {
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+ "151643": {
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+ "special": true
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+ }
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+ },
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+ "additional_special_tokens": [
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+ "<|im_start|>",
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+ "<|im_end|>"
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+ ],
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+ "bos_token": null,
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+ "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message + '\\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Human: ' + content + '\\nAssistant: ' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\\n' }}{% endif %}{% endfor %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "errors": "replace",
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+ "model_max_length": 32768,
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+ "pad_token": "<|endoftext|>",
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+ "padding_side": "right",
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+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
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+ }
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+ {
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+ "train_steps_per_second": 0.107
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+ }
trainer_config.yaml ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ cutoff_len: 4096
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+ dataset: LangGPT_community,LangGPT_seed
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+ dataset_dir: /datas/wangm/LLM4LangGPT
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+ do_train: true
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+ finetuning_type: lora
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+ flash_attn: auto
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+ fp16: true
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+ gradient_accumulation_steps: 8
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+ learning_rate: 5.0e-05
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+ logging_steps: 5
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+ lora_alpha: 16
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+ lora_dropout: 0
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+ lora_rank: 8
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+ lora_target: q_proj,v_proj
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+ lr_scheduler_type: cosine
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+ max_grad_norm: 1.0
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+ max_samples: 100000
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+ model_name_or_path: Qwen/Qwen1.5-4B-Chat
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+ num_train_epochs: 10.0
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+ optim: adamw_torch
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+ output_dir: /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed
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+ packing: false
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+ per_device_train_batch_size: 2
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+ report_to: none
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+ save_steps: 100
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+ stage: sft
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+ template: default
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+ warmup_steps: 0
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+ {"current_steps": 5, "total_steps": 2080, "loss": 1.2537, "learning_rate": 4.9999287112445194e-05, "epoch": 0.024009603841536616, "percentage": 0.24, "elapsed_time": "0:00:46", "remaining_time": "5:19:23"}
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