Datasets:
TMarcus
/
InternVL

Dataset card Data Studio Files
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log_level=passive,
log_level_replica=warning,
log_on_each_node=True,
logging_dir=work_dirs/internvl_chat_v1_5/internvl_chat_v1_5_internlm2_1_8b_dynamic_res_2nd_finetune_lora/runs/Oct22_17-18-20_73F3-5xA6000-134,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=500,
logging_strategy=epoch,
lr_scheduler_kwargs={},
lr_scheduler_type=cosine,
max_grad_norm=1.0,
max_steps=-1,
metric_for_best_model=None,
mp_parameters=,
neftune_noise_alpha=None,
no_cuda=False,
num_train_epochs=4.0,
optim=adamw_torch,
optim_args=None,
output_dir=work_dirs/internvl_chat_v1_5/internvl_chat_v1_5_internlm2_1_8b_dynamic_res_2nd_finetune_lora,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=8,
per_device_train_batch_size=4,
prediction_loss_only=False,
push_to_hub=False,
push_to_hub_model_id=None,
push_to_hub_organization=None,
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
ray_scope=last,
remove_unused_columns=True,
report_to=['tensorboard'],
resume_from_checkpoint=None,
run_name=work_dirs/internvl_chat_v1_5/internvl_chat_v1_5_internlm2_1_8b_dynamic_res_2nd_finetune_lora,
save_on_each_node=False,
save_only_model=False,
save_safetensors=True,
save_steps=500,
save_strategy=epoch,
save_total_limit=None,
seed=42,
skip_memory_metrics=True,
split_batches=False,
tf32=None,
torch_compile=False,
torch_compile_backend=None,
torch_compile_mode=None,
torchdynamo=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_cpu=False,
use_ipex=False,
use_legacy_prediction_loop=False,
use_mps_device=False,
warmup_ratio=0.03,
warmup_steps=0,
weight_decay=0.01,
)
10/22/2024 17:18:20 - INFO - __main__ - Loading Tokenizer: /home/yunjie/data/Mini-InternVL-Chat-2B-V1-5
[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:18:20,886 >> loading file ./tokenizer.model
[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:18:20,886 >> loading file added_tokens.json
[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:18:20,886 >> loading file special_tokens_map.json
[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:18:20,886 >> loading file tokenizer_config.json
[INFO|tokenization_utils_base.py:2025] 2024-10-22 17:18:20,886 >> loading file tokenizer.json
[2024-10-22 17:18:20,955] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2024-10-22 17:18:20,955] [INFO] [comm.py:616:init_distributed] cdb=None
10/22/2024 17:18:20 - WARNING - __main__ - Process rank: 2, device: cuda:2, n_gpu: 1distributed training: True, 16-bits training: False
10/22/2024 17:18:20 - WARNING - __main__ - Process rank: 1, device: cuda:1, n_gpu: 1distributed training: True, 16-bits training: False
[WARNING|logging.py:314] 2024-10-22 17:18:21,002 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
10/22/2024 17:18:21 - WARNING - __main__ - Process rank: 3, device: cuda:3, n_gpu: 1distributed training: True, 16-bits training: False
[WARNING|logging.py:314] 2024-10-22 17:18:21,092 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
[WARNING|logging.py:314] 2024-10-22 17:18:21,093 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
10/22/2024 17:18:21 - INFO - __main__ - Loading InternVLChatModel...
[INFO|configuration_utils.py:727] 2024-10-22 17:18:21,093 >> loading configuration file /home/yunjie/data/Mini-InternVL-Chat-2B-V1-5/config.json
[INFO|configuration_utils.py:792] 2024-10-22 17:18:21,094 >> Model config InternVLChatConfig {
"_commit_hash": null,
"architectures": [
"InternVLChatModel"
],
"auto_map": {
"AutoConfig": "configuration_internvl_chat.InternVLChatConfig",
"AutoModel": "modeling_internvl_chat.InternVLChatModel",
"AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"
},
"downsample_ratio": 0.5,
"dynamic_image_size": true,
"force_image_size": 448,
"llm_config": {
"_name_or_path": "internlm/internlm2-chat-1_8b",
"add_cross_attention": false,
"architectures": [
"InternLM2ForCausalLM"
],
"attn_implementation": "flash_attention_2",
"auto_map": {
"AutoConfig": "configuration_internlm2.InternLM2Config",
"AutoModel": "modeling_internlm2.InternLM2ForCausalLM",
"AutoModelForCausalLM": "modeling_internlm2.InternLM2ForCausalLM"
},
"bad_words_ids": null,