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sci-m-wang
/
deepseek-llm-7b-chat-sa-v0.1

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
Model card Files Community
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  1. README.md +58 -0
  2. adapter_config.json +29 -0
  3. adapter_model.safetensors +3 -0
  4. all_results.json +8 -0
  5. running_log.txt +1346 -0
  6. special_tokens_map.json +23 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +139 -0
  9. train_results.json +8 -0
  10. trainer_config.yaml +28 -0
  11. trainer_log.jsonl +0 -0
  12. trainer_state.json +3761 -0
  13. training_args.bin +3 -0
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: deepseek-ai/deepseek-llm-7b-chat
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+ model-index:
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+ - name: deepseek-llm-7b-chat
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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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+ # deepseek-llm-7b-chat
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+
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+ This model is a fine-tuned version of [/datas/huggingface/deepseek-llm-7b-chat](https://huggingface.co//datas/huggingface/deepseek-llm-7b-chat) on the LangGPT_community, the LangGPT_alpaca 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: 5.0
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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
adapter_config.json ADDED
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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": "deepseek-ai/deepseek-llm-7b-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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+ "q_proj",
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+ "v_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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+ }
adapter_model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:56df04a3731620c031c216d4cd12b6c0c5f892fe0e059732cad8f9da7d12c3e1
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+ size 15744552
all_results.json ADDED
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+ {
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+ "epoch": 4.9976558837318334,
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+ "total_flos": 1.9473516408636703e+18,
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+ "train_loss": 0.5572177461119575,
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+ "train_runtime": 35175.961,
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+ "train_samples_per_second": 1.213,
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+ "train_steps_per_second": 0.076
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+ }
running_log.txt ADDED
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+ 05/30/2024 22:53:40 - INFO - transformers.tokenization_utils_base - loading file tokenizer.model
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+
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+ 05/30/2024 22:53:40 - INFO - transformers.tokenization_utils_base - loading file tokenizer.json
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+
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+ 05/30/2024 22:53:40 - INFO - transformers.tokenization_utils_base - loading file added_tokens.json
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+
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+ 05/30/2024 22:53:40 - INFO - transformers.tokenization_utils_base - loading file special_tokens_map.json
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+
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+ 05/30/2024 22:53:40 - INFO - transformers.tokenization_utils_base - loading file tokenizer_config.json
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+
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+ 05/30/2024 22:53:41 - 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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+ 05/30/2024 22:53:41 - INFO - llmtuner.data.loader - Loading dataset /datas/wangm/LLM4LangGPT/constructed_datasets/LangGPT_community.jsonl...
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+
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+ 05/30/2024 22:53:41 - WARNING - llmtuner.data.utils - Checksum failed: missing SHA-1 hash value in dataset_info.json.
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+
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+ 05/30/2024 22:53:42 - INFO - llmtuner.data.loader - Loading dataset /datas/wangm/LLM4LangGPT/constructed_datasets/langgpt_alpaca.jsonl...
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+
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+ 05/30/2024 22:53:42 - WARNING - llmtuner.data.utils - Checksum failed: missing SHA-1 hash value in dataset_info.json.
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+
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+ 05/30/2024 22:53:44 - INFO - llmtuner.data.loader - Loading dataset /datas/wangm/LLM4LangGPT/constructed_datasets/langgpt_seed.jsonl...
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+
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+ 05/30/2024 22:53:44 - WARNING - llmtuner.data.utils - Checksum failed: missing SHA-1 hash value in dataset_info.json.
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+
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+ 05/30/2024 22:54:12 - INFO - transformers.configuration_utils - loading configuration file /datas/huggingface/deepseek-llm-7b-chat/config.json
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+
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+ 05/30/2024 22:54:12 - INFO - transformers.configuration_utils - Model config LlamaConfig {
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+ "_name_or_path": "/datas/huggingface/deepseek-llm-7b-chat",
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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": 100000,
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+ "eos_token_id": 100001,
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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": 11008,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 30,
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+ "num_key_value_heads": 32,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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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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+ "vocab_size": 102400
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+ }
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+
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+
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+ 05/30/2024 22:54:12 - INFO - transformers.modeling_utils - loading weights file /datas/huggingface/deepseek-llm-7b-chat/pytorch_model.bin.index.json
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+
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+ 05/30/2024 22:54:12 - INFO - transformers.modeling_utils - Instantiating LlamaForCausalLM model under default dtype torch.bfloat16.
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+
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+ 05/30/2024 22:54:12 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
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+ "bos_token_id": 100000,
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+ "eos_token_id": 100001
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+ }
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+
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.modeling_utils - All model checkpoint weights were used when initializing LlamaForCausalLM.
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+
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.modeling_utils - All the weights of LlamaForCausalLM were initialized from the model checkpoint at /datas/huggingface/deepseek-llm-7b-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 LlamaForCausalLM for predictions without further training.
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.generation.configuration_utils - loading configuration file /datas/huggingface/deepseek-llm-7b-chat/generation_config.json
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
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+ "bos_token_id": 100000,
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+ "do_sample": true,
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+ "eos_token_id": 100001,
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+ "temperature": 0.7,
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+ "top_p": 0.95
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+ }
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+
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+
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+ 05/30/2024 22:55:19 - INFO - llmtuner.model.utils.checkpointing - Gradient checkpointing enabled.
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+
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+ 05/30/2024 22:55:19 - INFO - llmtuner.model.utils.attention - Using torch SDPA for faster training and inference.
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+
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+ 05/30/2024 22:55:19 - INFO - llmtuner.model.adapter - Fine-tuning method: LoRA
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+
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+ 05/30/2024 22:55:19 - INFO - llmtuner.model.loader - trainable params: 3932160 || all params: 6914297856 || trainable%: 0.0569
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - Using auto half precision backend
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - ***** Running training *****
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - Num examples = 8,531
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - Num Epochs = 5
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - Instantaneous batch size per device = 2
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - Total train batch size (w. parallel, distributed & accumulation) = 16
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - Gradient Accumulation steps = 8
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - Total optimization steps = 2,665
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+
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+ 05/30/2024 22:55:19 - INFO - transformers.trainer - Number of trainable parameters = 3,932,160
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+
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+ 05/30/2024 22:56:32 - INFO - llmtuner.extras.callbacks - {'loss': 0.8631, 'learning_rate': 5.0000e-05, 'epoch': 0.01}
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+ 05/30/2024 22:57:36 - INFO - llmtuner.extras.callbacks - {'loss': 0.8372, 'learning_rate': 4.9998e-05, 'epoch': 0.02}
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+ 05/30/2024 22:58:42 - INFO - llmtuner.extras.callbacks - {'loss': 0.7690, 'learning_rate': 4.9996e-05, 'epoch': 0.03}
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+ 05/30/2024 22:59:45 - INFO - llmtuner.extras.callbacks - {'loss': 0.7971, 'learning_rate': 4.9993e-05, 'epoch': 0.04}
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+ 05/30/2024 23:00:50 - INFO - llmtuner.extras.callbacks - {'loss': 0.7329, 'learning_rate': 4.9989e-05, 'epoch': 0.05}
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+ 05/30/2024 23:01:54 - INFO - llmtuner.extras.callbacks - {'loss': 0.7026, 'learning_rate': 4.9984e-05, 'epoch': 0.06}
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+ 05/30/2024 23:03:00 - INFO - llmtuner.extras.callbacks - {'loss': 0.7233, 'learning_rate': 4.9979e-05, 'epoch': 0.07}
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+ 05/30/2024 23:04:07 - INFO - llmtuner.extras.callbacks - {'loss': 0.7185, 'learning_rate': 4.9972e-05, 'epoch': 0.08}
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+
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+ 05/30/2024 23:05:13 - INFO - llmtuner.extras.callbacks - {'loss': 0.7380, 'learning_rate': 4.9965e-05, 'epoch': 0.08}
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+
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+ 05/30/2024 23:06:18 - INFO - llmtuner.extras.callbacks - {'loss': 0.6857, 'learning_rate': 4.9957e-05, 'epoch': 0.09}
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+ 05/30/2024 23:07:23 - INFO - llmtuner.extras.callbacks - {'loss': 0.6763, 'learning_rate': 4.9947e-05, 'epoch': 0.10}
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+
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+ 05/30/2024 23:08:27 - INFO - llmtuner.extras.callbacks - {'loss': 0.6673, 'learning_rate': 4.9937e-05, 'epoch': 0.11}
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+ 05/30/2024 23:10:44 - INFO - llmtuner.extras.callbacks - {'loss': 0.6335, 'learning_rate': 4.9915e-05, 'epoch': 0.13}
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+ 05/30/2024 23:11:53 - INFO - llmtuner.extras.callbacks - {'loss': 0.6739, 'learning_rate': 4.9902e-05, 'epoch': 0.14}
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+ 05/30/2024 23:12:56 - INFO - llmtuner.extras.callbacks - {'loss': 0.6087, 'learning_rate': 4.9889e-05, 'epoch': 0.15}
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+ 05/30/2024 23:14:02 - INFO - llmtuner.extras.callbacks - {'loss': 0.6207, 'learning_rate': 4.9875e-05, 'epoch': 0.16}
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+ 05/30/2024 23:15:05 - INFO - llmtuner.extras.callbacks - {'loss': 0.6429, 'learning_rate': 4.9859e-05, 'epoch': 0.17}
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+ 05/30/2024 23:16:09 - INFO - llmtuner.extras.callbacks - {'loss': 0.6033, 'learning_rate': 4.9843e-05, 'epoch': 0.18}
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+ 05/30/2024 23:17:13 - INFO - llmtuner.extras.callbacks - {'loss': 0.5861, 'learning_rate': 4.9826e-05, 'epoch': 0.19}
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+
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+ 05/30/2024 23:17:13 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-100
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+
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+ 05/30/2024 23:17:13 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-100/tokenizer_config.json
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+
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+ 05/30/2024 23:17:13 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-100/special_tokens_map.json
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+
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+ 05/30/2024 23:18:19 - INFO - llmtuner.extras.callbacks - {'loss': 0.6604, 'learning_rate': 4.9809e-05, 'epoch': 0.20}
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+ 05/31/2024 07:17:47 - INFO - llmtuner.extras.callbacks - {'loss': 0.5267, 'learning_rate': 2.4667e-06, 'epoch': 4.29}
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+ 05/31/2024 07:18:54 - INFO - llmtuner.extras.callbacks - {'loss': 0.5480, 'learning_rate': 2.4032e-06, 'epoch': 4.29}
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+ 05/31/2024 07:21:02 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2300/tokenizer_config.json
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+ 05/31/2024 07:21:02 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2300/special_tokens_map.json
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+ 05/31/2024 07:22:07 - INFO - llmtuner.extras.callbacks - {'loss': 0.4882, 'learning_rate': 2.2176e-06, 'epoch': 4.32}
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+ 05/31/2024 07:32:02 - INFO - llmtuner.extras.callbacks - {'loss': 0.5165, 'learning_rate': 1.7039e-06, 'epoch': 4.41}
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+ 05/31/2024 07:33:04 - INFO - llmtuner.extras.callbacks - {'loss': 0.5718, 'learning_rate': 1.6508e-06, 'epoch': 4.42}
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+ 05/31/2024 07:34:16 - INFO - llmtuner.extras.callbacks - {'loss': 0.5244, 'learning_rate': 1.5986e-06, 'epoch': 4.43}
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+ 05/31/2024 07:35:21 - INFO - llmtuner.extras.callbacks - {'loss': 0.5609, 'learning_rate': 1.5471e-06, 'epoch': 4.44}
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+ 05/31/2024 07:36:25 - INFO - llmtuner.extras.callbacks - {'loss': 0.4940, 'learning_rate': 1.4965e-06, 'epoch': 4.44}
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+ 05/31/2024 07:37:30 - INFO - llmtuner.extras.callbacks - {'loss': 0.5198, 'learning_rate': 1.4467e-06, 'epoch': 4.45}
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+ 05/31/2024 07:38:37 - INFO - llmtuner.extras.callbacks - {'loss': 0.5284, 'learning_rate': 1.3977e-06, 'epoch': 4.46}
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+ 05/31/2024 07:39:44 - INFO - llmtuner.extras.callbacks - {'loss': 0.5223, 'learning_rate': 1.3495e-06, 'epoch': 4.47}
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+ 05/31/2024 07:40:48 - INFO - llmtuner.extras.callbacks - {'loss': 0.5128, 'learning_rate': 1.3022e-06, 'epoch': 4.48}
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+ 05/31/2024 07:41:59 - INFO - llmtuner.extras.callbacks - {'loss': 0.5634, 'learning_rate': 1.2557e-06, 'epoch': 4.49}
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+
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+ 05/31/2024 07:43:03 - INFO - llmtuner.extras.callbacks - {'loss': 0.5168, 'learning_rate': 1.2100e-06, 'epoch': 4.50}
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+
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+ 05/31/2024 07:43:03 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2400
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+ 05/31/2024 07:43:03 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2400/tokenizer_config.json
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+
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+ 05/31/2024 07:43:03 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2400/special_tokens_map.json
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+
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+ 05/31/2024 07:44:05 - INFO - llmtuner.extras.callbacks - {'loss': 0.4968, 'learning_rate': 1.1651e-06, 'epoch': 4.51}
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+
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+ 05/31/2024 07:45:10 - INFO - llmtuner.extras.callbacks - {'loss': 0.6302, 'learning_rate': 1.1210e-06, 'epoch': 4.52}
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+
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+ 05/31/2024 07:46:13 - INFO - llmtuner.extras.callbacks - {'loss': 0.5114, 'learning_rate': 1.0778e-06, 'epoch': 4.53}
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+
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+ 05/31/2024 07:47:17 - INFO - llmtuner.extras.callbacks - {'loss': 0.5136, 'learning_rate': 1.0354e-06, 'epoch': 4.54}
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+
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+ 05/31/2024 07:48:22 - INFO - llmtuner.extras.callbacks - {'loss': 0.5265, 'learning_rate': 9.9389e-07, 'epoch': 4.55}
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+
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+ 05/31/2024 07:49:26 - INFO - llmtuner.extras.callbacks - {'loss': 0.5299, 'learning_rate': 9.5317e-07, 'epoch': 4.56}
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+ 05/31/2024 07:50:31 - INFO - llmtuner.extras.callbacks - {'loss': 0.5940, 'learning_rate': 9.1329e-07, 'epoch': 4.57}
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+ 05/31/2024 07:51:38 - INFO - llmtuner.extras.callbacks - {'loss': 0.5352, 'learning_rate': 8.7424e-07, 'epoch': 4.58}
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+ 05/31/2024 07:52:43 - INFO - llmtuner.extras.callbacks - {'loss': 0.5262, 'learning_rate': 8.3604e-07, 'epoch': 4.59}
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+ 05/31/2024 07:53:48 - INFO - llmtuner.extras.callbacks - {'loss': 0.5779, 'learning_rate': 7.9867e-07, 'epoch': 4.59}
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+ 05/31/2024 07:54:55 - INFO - llmtuner.extras.callbacks - {'loss': 0.5588, 'learning_rate': 7.6214e-07, 'epoch': 4.60}
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+ 05/31/2024 07:56:01 - INFO - llmtuner.extras.callbacks - {'loss': 0.5025, 'learning_rate': 7.2645e-07, 'epoch': 4.61}
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+ 05/31/2024 07:57:06 - INFO - llmtuner.extras.callbacks - {'loss': 0.5156, 'learning_rate': 6.9161e-07, 'epoch': 4.62}
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+ 05/31/2024 07:58:14 - INFO - llmtuner.extras.callbacks - {'loss': 0.5750, 'learning_rate': 6.5761e-07, 'epoch': 4.63}
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+ 05/31/2024 07:59:27 - INFO - llmtuner.extras.callbacks - {'loss': 0.5262, 'learning_rate': 6.2446e-07, 'epoch': 4.64}
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+ 05/31/2024 08:00:33 - INFO - llmtuner.extras.callbacks - {'loss': 0.5399, 'learning_rate': 5.9216e-07, 'epoch': 4.65}
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+ 05/31/2024 08:01:41 - INFO - llmtuner.extras.callbacks - {'loss': 0.5328, 'learning_rate': 5.6070e-07, 'epoch': 4.66}
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+ 05/31/2024 08:02:46 - INFO - llmtuner.extras.callbacks - {'loss': 0.5403, 'learning_rate': 5.3009e-07, 'epoch': 4.67}
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+ 05/31/2024 08:03:53 - INFO - llmtuner.extras.callbacks - {'loss': 0.5219, 'learning_rate': 5.0033e-07, 'epoch': 4.68}
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+ 05/31/2024 08:04:57 - INFO - llmtuner.extras.callbacks - {'loss': 0.5515, 'learning_rate': 4.7143e-07, 'epoch': 4.69}
1253
+
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+ 05/31/2024 08:04:57 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2500
1255
+
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+ 05/31/2024 08:04:57 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2500/tokenizer_config.json
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+
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+ 05/31/2024 08:04:57 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2500/special_tokens_map.json
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+
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+ 05/31/2024 08:06:01 - INFO - llmtuner.extras.callbacks - {'loss': 0.5270, 'learning_rate': 4.4337e-07, 'epoch': 4.70}
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+
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+ 05/31/2024 08:07:06 - INFO - llmtuner.extras.callbacks - {'loss': 0.5766, 'learning_rate': 4.1617e-07, 'epoch': 4.71}
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+
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+ 05/31/2024 08:08:13 - INFO - llmtuner.extras.callbacks - {'loss': 0.5084, 'learning_rate': 3.8982e-07, 'epoch': 4.72}
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+
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+ 05/31/2024 08:09:18 - INFO - llmtuner.extras.callbacks - {'loss': 0.5616, 'learning_rate': 3.6433e-07, 'epoch': 4.73}
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+
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+ 05/31/2024 08:10:21 - INFO - llmtuner.extras.callbacks - {'loss': 0.5003, 'learning_rate': 3.3969e-07, 'epoch': 4.74}
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+
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+ 05/31/2024 08:11:30 - INFO - llmtuner.extras.callbacks - {'loss': 0.5369, 'learning_rate': 3.1591e-07, 'epoch': 4.74}
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+
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+ 05/31/2024 08:12:33 - INFO - llmtuner.extras.callbacks - {'loss': 0.5319, 'learning_rate': 2.9299e-07, 'epoch': 4.75}
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+
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+ 05/31/2024 08:13:46 - INFO - llmtuner.extras.callbacks - {'loss': 0.4929, 'learning_rate': 2.7093e-07, 'epoch': 4.76}
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+
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+ 05/31/2024 08:14:53 - INFO - llmtuner.extras.callbacks - {'loss': 0.5774, 'learning_rate': 2.4972e-07, 'epoch': 4.77}
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+
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+ 05/31/2024 08:15:59 - INFO - llmtuner.extras.callbacks - {'loss': 0.5231, 'learning_rate': 2.2937e-07, 'epoch': 4.78}
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+
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+ 05/31/2024 08:17:06 - INFO - llmtuner.extras.callbacks - {'loss': 0.5563, 'learning_rate': 2.0989e-07, 'epoch': 4.79}
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+
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+ 05/31/2024 08:18:12 - INFO - llmtuner.extras.callbacks - {'loss': 0.5601, 'learning_rate': 1.9127e-07, 'epoch': 4.80}
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+
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+ 05/31/2024 08:19:16 - INFO - llmtuner.extras.callbacks - {'loss': 0.5116, 'learning_rate': 1.7351e-07, 'epoch': 4.81}
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+
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+ 05/31/2024 08:20:21 - INFO - llmtuner.extras.callbacks - {'loss': 0.5159, 'learning_rate': 1.5661e-07, 'epoch': 4.82}
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+
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+ 05/31/2024 08:21:31 - INFO - llmtuner.extras.callbacks - {'loss': 0.5555, 'learning_rate': 1.4057e-07, 'epoch': 4.83}
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+
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+ 05/31/2024 08:22:37 - INFO - llmtuner.extras.callbacks - {'loss': 0.5433, 'learning_rate': 1.2540e-07, 'epoch': 4.84}
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+
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+ 05/31/2024 08:23:51 - INFO - llmtuner.extras.callbacks - {'loss': 0.4752, 'learning_rate': 1.1109e-07, 'epoch': 4.85}
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+
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+ 05/31/2024 08:24:54 - INFO - llmtuner.extras.callbacks - {'loss': 0.4921, 'learning_rate': 9.7646e-08, 'epoch': 4.86}
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+ 05/31/2024 08:25:57 - INFO - llmtuner.extras.callbacks - {'loss': 0.5313, 'learning_rate': 8.5068e-08, 'epoch': 4.87}
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+ 05/31/2024 08:26:59 - INFO - llmtuner.extras.callbacks - {'loss': 0.5180, 'learning_rate': 7.3355e-08, 'epoch': 4.88}
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+
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+ 05/31/2024 08:26:59 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2600
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+
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+ 05/31/2024 08:27:00 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2600/tokenizer_config.json
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+
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+ 05/31/2024 08:27:00 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/checkpoint-2600/special_tokens_map.json
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+
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+ 05/31/2024 08:28:07 - INFO - llmtuner.extras.callbacks - {'loss': 0.5785, 'learning_rate': 6.2508e-08, 'epoch': 4.89}
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+
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+ 05/31/2024 08:29:12 - INFO - llmtuner.extras.callbacks - {'loss': 0.5209, 'learning_rate': 5.2528e-08, 'epoch': 4.89}
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+
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+ 05/31/2024 08:30:20 - INFO - llmtuner.extras.callbacks - {'loss': 0.5438, 'learning_rate': 4.3414e-08, 'epoch': 4.90}
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+
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+ 05/31/2024 08:31:25 - INFO - llmtuner.extras.callbacks - {'loss': 0.4971, 'learning_rate': 3.5167e-08, 'epoch': 4.91}
1313
+
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+ 05/31/2024 08:32:31 - INFO - llmtuner.extras.callbacks - {'loss': 0.4950, 'learning_rate': 2.7788e-08, 'epoch': 4.92}
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+
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+ 05/31/2024 08:33:39 - INFO - llmtuner.extras.callbacks - {'loss': 0.5463, 'learning_rate': 2.1276e-08, 'epoch': 4.93}
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+
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+ 05/31/2024 08:34:53 - INFO - llmtuner.extras.callbacks - {'loss': 0.5461, 'learning_rate': 1.5632e-08, 'epoch': 4.94}
1319
+
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+ 05/31/2024 08:36:04 - INFO - llmtuner.extras.callbacks - {'loss': 0.5319, 'learning_rate': 1.0856e-08, 'epoch': 4.95}
1321
+
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+ 05/31/2024 08:37:08 - INFO - llmtuner.extras.callbacks - {'loss': 0.5068, 'learning_rate': 6.9479e-09, 'epoch': 4.96}
1323
+
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+ 05/31/2024 08:38:15 - INFO - llmtuner.extras.callbacks - {'loss': 0.5091, 'learning_rate': 3.9083e-09, 'epoch': 4.97}
1325
+
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+ 05/31/2024 08:39:24 - INFO - llmtuner.extras.callbacks - {'loss': 0.5747, 'learning_rate': 1.7370e-09, 'epoch': 4.98}
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+
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+ 05/31/2024 08:40:30 - INFO - llmtuner.extras.callbacks - {'loss': 0.5346, 'learning_rate': 4.3426e-10, 'epoch': 4.99}
1329
+
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+ 05/31/2024 08:41:35 - INFO - llmtuner.extras.callbacks - {'loss': 0.5285, 'learning_rate': 0.0000e+00, 'epoch': 5.00}
1331
+
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+ 05/31/2024 08:41:35 - INFO - transformers.trainer -
1333
+
1334
+ Training completed. Do not forget to share your model on huggingface.co/models =)
1335
+
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+
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+
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+ 05/31/2024 08:41:35 - INFO - transformers.trainer - Saving model checkpoint to /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat
1339
+
1340
+ 05/31/2024 08:41:35 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/tokenizer_config.json
1341
+
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+ 05/31/2024 08:41:35 - INFO - transformers.tokenization_utils_base - Special tokens file saved in /datas/wangm/LLM4LangGPT/output/deepseek-llm-7b-chat/special_tokens_map.json
1343
+
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+ 05/31/2024 08:41:35 - INFO - transformers.modelcard - Dropping the following result as it does not have all the necessary fields:
1345
+ {'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
1346
+
special_tokens_map.json ADDED
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+ {
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+ }
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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1
+ {
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