#
root@localhost:/paddle/chatGlmBase/ptuning# python main.py --do_train --train_file chat/train.json --validation_file chat/dev.json --prompt_column prompt --response_column summary --history_column history --overwrite_cache --model_name_or_path THUDM/chatglm-6b --output_dir output --overwrite_output_dir --max_source_length 2
55 --max_target_length 2500 --per_device_train_batch_size 1 --per_device_eval_batch_size 1 --gradient_accumulation_steps 16 --predict_with_generate --max_steps 3000 --logging_steps 10 --save_steps 1000 --learning_rate $LR --pre_seq_len $PRE_SEQ_LEN --quantization_bit 4
05/11/2023 17:35:27 - WARNING - main - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: False
05/11/2023 17:35:27 - INFO - main - Training/evaluation parameters Seq2SeqTrainingArguments(
_n_gpu=1,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
auto_find_batch_size=False,
bf16=False,
bf16_full_eval=False,
data_seed=None,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_pin_memory=True,
ddp_bucket_cap_mb=None,
ddp_find_unused_parameters=None,
ddp_timeout=1800,
debug=[],
deepspeed=None,
disable_tqdm=False,
do_eval=False,
do_predict=False,
do_train=True,
eval_accumulation_steps=None,
eval_delay=0,
eval_steps=None,
evaluation_strategy=no,
fp16=False,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
fsdp=[],
fsdp_config={'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False},
fsdp_min_num_params=0,
fsdp_transformer_layer_cls_to_wrap=None,
full_determinism=False,
generation_max_length=None,
generation_num_beams=None,
gradient_accumulation_steps=16,
gradient_checkpointing=False,
greater_is_better=None,
group_by_length=False,
half_precision_backend=auto,
hub_model_id=None,
hub_private_repo=False,
hub_strategy=every_save,
hub_token=revision
is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision.
[INFO|configuration_utils.py:666] 2023-05-11 17:35:28,595 >> loading configuration file THUDM/chatglm-6b/config.json
[INFO|configuration_utils.py:720] 2023-05-11 17:35:28,596 >> Model config ChatGLMConfig {
"_name_or_path": "THUDM/chatglm-6b",
"architectures": [
"ChatGLMModel"
],
"auto_map": {
"AutoConfig": "configuration_chatglm.ChatGLMConfig",
"AutoModel": "modeling_chatglm.ChatGLMForConditionalGeneration",
"AutoModelForSeq2SeqLM": "modeling_chatglm.ChatGLMForConditionalGeneration"
},
"bos_token_id": 130004,
"eos_token_id": 130005,
"gmask_token_id": 130001,
"hidden_size": 4096,
"inner_hidden_size": 16384,
"layernorm_epsilon": 1e-05,
"mask_token_id": 130000,
"max_sequence_length": 2048,
"model_type": "chatglm",
"num_attention_heads": 32,
"num_layers": 28,
"pad_token_id": 3,
"position_encoding_2d": true,
"pre_seq_len": null,
"prefix_projection": false,
"quantization_bit": 0,
"torch_dtype": "float16",
"transformers_version": "4.27.1",
"use_cache": true,
"vocab_size": 130528
}
[WARNING|tokenization_auto.py:652] 2023-05-11 17:35:28,597 >> Explicitly passing a revision
is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision.
[INFO|tokenization_utils_base.py:1800] 2023-05-11 17:35:28,646 >> loading file ice_text.model
[INFO|tokenization_utils_base.py:1800] 2023-05-11 17:35:28,647 >> loading file added_tokens.json
[INFO|tokenization_utils_base.py:1800] 2023-05-11 17:35:28,647 >> loading file special_tokens_map.json
[INFO|tokenization_utils_base.py:1800] 2023-05-11 17:35:28,647 >> loading file tokenizer_config.json
[WARNING|auto_factory.py:456] 2023-05-11 17:35:28,904 >> Explicitly passing a revision
is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision.
[INFO|modeling_utils.py:2400] 2023-05-11 17:35:29,028 >> loading weights file THUDM/chatglm-6b/pytorch_model.bin.index.json
[INFO|configuration_utils.py:575] 2023-05-11 17:35:29,030 >> Generate config GenerationConfig {
"_from_model_config": true,
"bos_token_id": 130004,
"eos_token_id": 130005,
"pad_token_id": 3,
"transformers_version": "4.27.1"
}
Loading checkpoint shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:53<00:00, 6.67s/it] [INFO|modeling_utils.py:3032] 2023-05-11 17:36:22,958 >> All model checkpoint weights were used when initializing ChatGLMForConditionalGeneration.
[WARNING|modeling_utils.py:3034] 2023-05-11 17:36:22,958 >> Some weights of ChatGLMForConditionalGeneration were not initialized from the model checkpoint at THUDM/chatglm-6b and are newly initialized: ['transformer.prefix_encoder.embedding.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
[INFO|modeling_utils.py:2690] 2023-05-11 17:36:23,019 >> Generation config file not found, using a generation config created from the model config.
Quantized to 4 bit
Running tokenizer on train dataset: 5%|███████████▏ | 1000/21357 [00:08<02:50, 119.23 examples/s][WARNING|tokenization_utils_base.py:3561] 2023-05-11 17:38:49,031 >> Token indices sequence length is longer than the specified maximum sequence length for this model (2120 > 2048). Running this sequence through the model will result in indexing errors
input_ids [53, 6945, 5, 8, 42, 4, 64286, 12, 87702, 64754, 63938, 65354, 6, 4, 67342, 12, 130001, 130004, 5, 64312, 78150, 73691, 6, 75749, 64079, 6, 94807, 68860, 70436, 63823, 130005, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 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inputs [Round 0]
问:马蹄足内翻,
答: 采用石膏矫正,尽早治疗,越早疗效越好。
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