Datasets:
TMarcus
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InternVL

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"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"transformers_version": "4.37.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
[INFO|configuration_utils.py:727] 2024-10-22 17:03:12,573 >> loading configuration file /home/yunjie/data/bert-base-uncased/config.json
[INFO|configuration_utils.py:792] 2024-10-22 17:03:12,574 >> Model config BertConfig {
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"transformers_version": "4.37.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
[INFO|modeling_utils.py:3473] 2024-10-22 17:03:12,574 >> loading weights file /home/yunjie/data/bert-base-uncased/model.safetensors
loading bert-base-uncased from /home/yunjie/data/bert-base-uncased
loading bert-base-uncased from /home/yunjie/data/bert-base-uncased
[INFO|modeling_utils.py:4340] 2024-10-22 17:03:12,781 >> Some weights of the model checkpoint at /home/yunjie/data/bert-base-uncased were not used when initializing BertModel: ['cls.predictions.bias', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.seq_relationship.bias', 'cls.seq_relationship.weight']
- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
[INFO|modeling_utils.py:4358] 2024-10-22 17:03:12,781 >> All the weights of BertModel were initialized from the model checkpoint at /home/yunjie/data/bert-base-uncased.
If your task is similar to the task the model of the checkpoint was trained on, you can already use BertModel for predictions without further training.
loading bert-base-uncased done
loading bert-base-uncased from /home/yunjie/data/bert-base-uncased
loading bert-base-uncased done
Traceback (most recent call last):
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 898, in <module>
main()
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 807, in main
train_dataset = build_datasets(
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 598, in build_datasets
dataset = LazySupervisedDataset(
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 251, in __init__
with open(meta['annotation'], 'r') as f:
FileNotFoundError: [Errno 2] No such file or directory: 'playground/opensource/sharegpt4v_instruct_gpt4-vision_cap100k.jsonl'
10/22/2024 17:03:12 - INFO - __main__ - Finished
10/22/2024 17:03:12 - INFO - __main__ - model.config.force_image_size: 448
10/22/2024 17:03:12 - INFO - __main__ - data_args.force_image_size: 448
10/22/2024 17:03:12 - INFO - __main__ - model.config.vision_config.image_size: 448
10/22/2024 17:03:12 - INFO - __main__ - [Dataset] num_image_token: 256
10/22/2024 17:03:12 - INFO - __main__ - [Dataset] dynamic_image_size: True
10/22/2024 17:03:12 - INFO - __main__ - [Dataset] use_thumbnail: True
10/22/2024 17:03:12 - INFO - __main__ - [Dataset] min_dynamic_patch: 1, max_dynamic_patch: 12
10/22/2024 17:03:12 - INFO - __main__ - Formatting inputs...Skip in lazy mode
Traceback (most recent call last):
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 898, in <module>
main()
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 807, in main
train_dataset = build_datasets(
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 598, in build_datasets
dataset = LazySupervisedDataset(
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 251, in __init__
with open(meta['annotation'], 'r') as f:
FileNotFoundError: [Errno 2] No such file or directory: 'playground/opensource/sharegpt4v_instruct_gpt4-vision_cap100k.jsonl'
loading bert-base-uncased done
Traceback (most recent call last):
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 898, in <module>
main()
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 807, in main
train_dataset = build_datasets(
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 598, in build_datasets
dataset = LazySupervisedDataset(
File "/mnt/SSD1_4TB/yunjie/Internvl_NLVR/InternVL/internvl_chat/internvl/train/internvl_chat_finetune.py", line 251, in __init__
with open(meta['annotation'], 'r') as f:
FileNotFoundError: [Errno 2] No such file or directory: 'playground/opensource/sharegpt4v_instruct_gpt4-vision_cap100k.jsonl'
loading bert-base-uncased done
Traceback (most recent call last):