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1.16k
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"sep_token_id": null,
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"suppress_tokens": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": "bfloat16",
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"torchscript": false,
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"transformers_version": "4.37.2",
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"typical_p": 1.0,
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"use_bfloat16": true,
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"use_flash_attn": true
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}
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}
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10/22/2024 17:03:43 - INFO - __main__ - Using flash_attention_2 for InternLM
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[INFO|modeling_utils.py:3473] 2024-10-22 17:03:43,498 >> loading weights file /home/yunjie/data/Mini-InternVL-Chat-2B-V1-5/model.safetensors
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[INFO|modeling_utils.py:1426] 2024-10-22 17:03:43,511 >> Instantiating InternVLChatModel model under default dtype torch.bfloat16.
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[INFO|configuration_utils.py:826] 2024-10-22 17:03:43,512 >> Generate config GenerationConfig {}
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[INFO|configuration_utils.py:826] 2024-10-22 17:03:43,542 >> Generate config GenerationConfig {
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 2
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}
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[WARNING|logging.py:314] 2024-10-22 17:03:43,563 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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[WARNING|logging.py:314] 2024-10-22 17:03:43,598 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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[INFO|modeling_utils.py:4350] 2024-10-22 17:03:46,752 >> All model checkpoint weights were used when initializing InternVLChatModel.
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[INFO|modeling_utils.py:4358] 2024-10-22 17:03:46,752 >> All the weights of InternVLChatModel were initialized from the model checkpoint at /home/yunjie/data/Mini-InternVL-Chat-2B-V1-5.
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If your task is similar to the task the model of the checkpoint was trained on, you can already use InternVLChatModel for predictions without further training.
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[INFO|configuration_utils.py:779] 2024-10-22 17:03:46,755 >> loading configuration file /home/yunjie/data/Mini-InternVL-Chat-2B-V1-5/generation_config.json
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[INFO|configuration_utils.py:826] 2024-10-22 17:03:46,755 >> Generate config GenerationConfig {
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"eos_token_id": [
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92542,
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92543
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]
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}
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loading bert-base-uncased from /home/yunjie/data/bert-base-uncased
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[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:03:46,863 >> loading file vocab.txt
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[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:03:46,864 >> loading file added_tokens.json
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[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:03:46,864 >> loading file special_tokens_map.json
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[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:03:46,864 >> loading file tokenizer_config.json
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[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:03:46,864 >> loading file tokenizer.json
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[INFO|configuration_utils.py:727] 2024-10-22 17:03:46,864 >> loading configuration file /home/yunjie/data/bert-base-uncased/config.json
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[INFO|configuration_utils.py:792] 2024-10-22 17:03:46,864 >> Model config BertConfig {
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"_name_or_path": "/home/yunjie/data/bert-base-uncased",
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.37.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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[INFO|configuration_utils.py:727] 2024-10-22 17:03:46,892 >> loading configuration file /home/yunjie/data/bert-base-uncased/config.json
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[INFO|configuration_utils.py:792] 2024-10-22 17:03:46,893 >> Model config BertConfig {
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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