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[INFO|2025-02-10 13:06:44] configuration_utils.py:696 >> loading configuration file config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/config.json |
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[INFO|2025-02-10 13:06:44] configuration_utils.py:768 >> Model config Qwen2VLConfig { |
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"_name_or_path": "Qwen/Qwen2-VL-2B-Instruct-GPTQ-Int4", |
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"architectures": [ |
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"Qwen2VLForConditionalGeneration" |
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], |
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"attention_dropout": 0.0, |
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"bos_token_id": 151643, |
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"eos_token_id": 151645, |
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"hidden_act": "silu", |
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"hidden_size": 1536, |
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"image_token_id": 151655, |
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"initializer_range": 0.02, |
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"intermediate_size": 8960, |
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"max_position_embeddings": 32768, |
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"max_window_layers": 28, |
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"model_type": "qwen2_vl", |
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"num_attention_heads": 12, |
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"num_hidden_layers": 28, |
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"num_key_value_heads": 2, |
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"quantization_config": { |
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"bits": 4, |
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"damp_percent": 0.1, |
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"dataset": null, |
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"desc_act": false, |
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"group_size": 128, |
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"modules_in_block_to_quantize": null, |
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"quant_method": "gptq", |
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"sym": true, |
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"true_sequential": true |
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}, |
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"rms_norm_eps": 1e-06, |
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"rope_scaling": { |
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"mrope_section": [ |
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16, |
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24, |
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24 |
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], |
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"rope_type": "default", |
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"type": "default" |
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}, |
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"rope_theta": 1000000.0, |
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"sliding_window": 32768, |
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"tie_word_embeddings": true, |
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"torch_dtype": "float16", |
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"transformers_version": "4.48.2", |
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"use_cache": true, |
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"use_sliding_window": false, |
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"video_token_id": 151656, |
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"vision_config": { |
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"hidden_size": 1536, |
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"in_chans": 3, |
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"model_type": "qwen2_vl", |
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"spatial_patch_size": 14 |
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}, |
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"vision_end_token_id": 151653, |
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"vision_start_token_id": 151652, |
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"vision_token_id": 151654, |
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"vocab_size": 151936 |
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} |
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[INFO|2025-02-10 13:06:44] tokenization_utils_base.py:2034 >> loading file vocab.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/vocab.json |
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[INFO|2025-02-10 13:06:44] tokenization_utils_base.py:2034 >> loading file merges.txt from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/merges.txt |
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[INFO|2025-02-10 13:06:44] tokenization_utils_base.py:2034 >> loading file tokenizer.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/tokenizer.json |
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[INFO|2025-02-10 13:06:44] tokenization_utils_base.py:2034 >> loading file added_tokens.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/added_tokens.json |
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[INFO|2025-02-10 13:06:44] tokenization_utils_base.py:2034 >> loading file special_tokens_map.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/special_tokens_map.json |
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[INFO|2025-02-10 13:06:44] tokenization_utils_base.py:2034 >> loading file tokenizer_config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/tokenizer_config.json |
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[INFO|2025-02-10 13:06:44] tokenization_utils_base.py:2034 >> loading file chat_template.jinja from cache at None |
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[INFO|2025-02-10 13:06:45] tokenization_utils_base.py:2304 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. |
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[INFO|2025-02-10 13:06:45] image_processing_base.py:381 >> loading configuration file preprocessor_config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/preprocessor_config.json |
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[INFO|2025-02-10 13:06:46] image_processing_base.py:381 >> loading configuration file preprocessor_config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/preprocessor_config.json |
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[INFO|2025-02-10 13:06:46] image_processing_base.py:434 >> Image processor Qwen2VLImageProcessor { |
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"do_convert_rgb": true, |
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"do_normalize": true, |
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"do_rescale": true, |
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"do_resize": true, |
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"image_mean": [ |
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0.48145466, |
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0.4578275, |
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0.40821073 |
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], |
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"image_processor_type": "Qwen2VLImageProcessor", |
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"image_std": [ |
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0.26862954, |
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0.26130258, |
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0.27577711 |
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], |
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"max_pixels": 1003520, |
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"merge_size": 2, |
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"min_pixels": 3136, |
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"patch_size": 14, |
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"processor_class": "Qwen2VLProcessor", |
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"resample": 3, |
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"rescale_factor": 0.00392156862745098, |
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"size": { |
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"max_pixels": 1003520, |
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"min_pixels": 3136 |
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}, |
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"temporal_patch_size": 2, |
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"vision_token_id": 151654 |
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} |
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[INFO|2025-02-10 13:06:46] tokenization_utils_base.py:2034 >> loading file vocab.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/vocab.json |
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[INFO|2025-02-10 13:06:46] tokenization_utils_base.py:2034 >> loading file merges.txt from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/merges.txt |
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[INFO|2025-02-10 13:06:46] tokenization_utils_base.py:2034 >> loading file tokenizer.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/tokenizer.json |
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[INFO|2025-02-10 13:06:46] tokenization_utils_base.py:2034 >> loading file added_tokens.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/added_tokens.json |
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[INFO|2025-02-10 13:06:46] tokenization_utils_base.py:2034 >> loading file special_tokens_map.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/special_tokens_map.json |
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[INFO|2025-02-10 13:06:46] tokenization_utils_base.py:2034 >> loading file tokenizer_config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/tokenizer_config.json |
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[INFO|2025-02-10 13:06:46] tokenization_utils_base.py:2034 >> loading file chat_template.jinja from cache at None |
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[INFO|2025-02-10 13:06:46] tokenization_utils_base.py:2304 >> 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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[INFO|2025-02-10 13:06:47] processing_utils.py:780 >> Processor Qwen2VLProcessor: |
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- image_processor: Qwen2VLImageProcessor { |
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"do_convert_rgb": true, |
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"do_normalize": true, |
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"do_rescale": true, |
|
"do_resize": true, |
|
"image_mean": [ |
|
0.48145466, |
|
0.4578275, |
|
0.40821073 |
|
], |
|
"image_processor_type": "Qwen2VLImageProcessor", |
|
"image_std": [ |
|
0.26862954, |
|
0.26130258, |
|
0.27577711 |
|
], |
|
"max_pixels": 1003520, |
|
"merge_size": 2, |
|
"min_pixels": 3136, |
|
"patch_size": 14, |
|
"processor_class": "Qwen2VLProcessor", |
|
"resample": 3, |
|
"rescale_factor": 0.00392156862745098, |
|
"size": { |
|
"max_pixels": 1003520, |
|
"min_pixels": 3136 |
|
}, |
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"temporal_patch_size": 2, |
|
"vision_token_id": 151654 |
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} |
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|
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- tokenizer: Qwen2TokenizerFast(name_or_path='Qwen/Qwen2-VL-2B-Instruct-GPTQ-Int4', vocab_size=151643, model_max_length=32768, is_fast=True, padding_side='left', truncation_side='right', special_tokens={'eos_token': '<|im_end|>', 'pad_token': '<|endoftext|>', 'additional_special_tokens': ['<|im_start|>', '<|im_end|>', '<|object_ref_start|>', '<|object_ref_end|>', '<|box_start|>', '<|box_end|>', '<|quad_start|>', '<|quad_end|>', '<|vision_start|>', '<|vision_end|>', '<|vision_pad|>', '<|image_pad|>', '<|video_pad|>']}, clean_up_tokenization_spaces=False, added_tokens_decoder={ |
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151643: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151644: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151645: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151646: AddedToken("<|object_ref_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151647: AddedToken("<|object_ref_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151648: AddedToken("<|box_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151649: AddedToken("<|box_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151650: AddedToken("<|quad_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151651: AddedToken("<|quad_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151652: AddedToken("<|vision_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151653: AddedToken("<|vision_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151654: AddedToken("<|vision_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151655: AddedToken("<|image_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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151656: AddedToken("<|video_pad|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), |
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} |
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) |
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|
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{ |
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"processor_class": "Qwen2VLProcessor" |
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} |
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[INFO|2025-02-10 13:06:47] logging.py:157 >> Add <|im_end|> to stop words. |
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[INFO|2025-02-10 13:06:47] logging.py:157 >> Loading dataset qwen2_vl_dora.json... |
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[INFO|2025-02-10 13:06:48] configuration_utils.py:696 >> loading configuration file config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/config.json |
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[INFO|2025-02-10 13:06:48] configuration_utils.py:768 >> Model config Qwen2VLConfig { |
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"_name_or_path": "Qwen/Qwen2-VL-2B-Instruct-GPTQ-Int4", |
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"architectures": [ |
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"Qwen2VLForConditionalGeneration" |
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], |
|
"attention_dropout": 0.0, |
|
"bos_token_id": 151643, |
|
"eos_token_id": 151645, |
|
"hidden_act": "silu", |
|
"hidden_size": 1536, |
|
"image_token_id": 151655, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 8960, |
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"max_position_embeddings": 32768, |
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"max_window_layers": 28, |
|
"model_type": "qwen2_vl", |
|
"num_attention_heads": 12, |
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"num_hidden_layers": 28, |
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"num_key_value_heads": 2, |
|
"quantization_config": { |
|
"bits": 4, |
|
"damp_percent": 0.1, |
|
"dataset": null, |
|
"desc_act": false, |
|
"group_size": 128, |
|
"modules_in_block_to_quantize": null, |
|
"quant_method": "gptq", |
|
"sym": true, |
|
"true_sequential": true |
|
}, |
|
"rms_norm_eps": 1e-06, |
|
"rope_scaling": { |
|
"mrope_section": [ |
|
16, |
|
24, |
|
24 |
|
], |
|
"rope_type": "default", |
|
"type": "default" |
|
}, |
|
"rope_theta": 1000000.0, |
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"sliding_window": 32768, |
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"tie_word_embeddings": true, |
|
"torch_dtype": "float16", |
|
"transformers_version": "4.48.2", |
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"use_cache": true, |
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"use_sliding_window": false, |
|
"video_token_id": 151656, |
|
"vision_config": { |
|
"hidden_size": 1536, |
|
"in_chans": 3, |
|
"model_type": "qwen2_vl", |
|
"spatial_patch_size": 14 |
|
}, |
|
"vision_end_token_id": 151653, |
|
"vision_start_token_id": 151652, |
|
"vision_token_id": 151654, |
|
"vocab_size": 151936 |
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} |
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|
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[INFO|2025-02-10 13:06:48] logging.py:157 >> Loading 4-bit GPTQ-quantized model. |
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[INFO|2025-02-10 13:06:48] modeling_utils.py:3904 >> loading weights file model.safetensors from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/model.safetensors |
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[INFO|2025-02-10 13:06:48] modeling_utils.py:1582 >> Instantiating Qwen2VLForConditionalGeneration model under default dtype torch.float16. |
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[INFO|2025-02-10 13:06:48] configuration_utils.py:1140 >> Generate config GenerationConfig { |
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"bos_token_id": 151643, |
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"eos_token_id": 151645 |
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} |
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|
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[INFO|2025-02-10 13:06:48] modeling_utils.py:1582 >> Instantiating Qwen2VisionTransformerPretrainedModel model under default dtype torch.float16. |
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[WARNING|2025-02-10 13:06:48] logging.py:328 >> `Qwen2VLRotaryEmbedding` can now be fully parameterized by passing the model config through the `config` argument. All other arguments will be removed in v4.46 |
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[WARNING|2025-02-10 13:06:48] logging.py:328 >> `loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`. |
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[INFO|2025-02-10 13:06:50] modeling_utils.py:4888 >> All model checkpoint weights were used when initializing Qwen2VLForConditionalGeneration. |
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[INFO|2025-02-10 13:06:50] modeling_utils.py:4896 >> All the weights of Qwen2VLForConditionalGeneration were initialized from the model checkpoint at Qwen/Qwen2-VL-2B-Instruct-GPTQ-Int4. |
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If your task is similar to the task the model of the checkpoint was trained on, you can already use Qwen2VLForConditionalGeneration for predictions without further training. |
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[INFO|2025-02-10 13:06:50] configuration_utils.py:1095 >> loading configuration file generation_config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/generation_config.json |
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[INFO|2025-02-10 13:06:50] configuration_utils.py:1140 >> Generate config GenerationConfig { |
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"bos_token_id": 151643, |
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"do_sample": true, |
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"eos_token_id": [ |
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151645, |
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151643 |
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], |
|
"pad_token_id": 151643, |
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"temperature": 0.01, |
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"top_k": 1, |
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"top_p": 0.001 |
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} |
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[INFO|2025-02-10 13:06:50] logging.py:157 >> Gradient checkpointing enabled. |
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|
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[INFO|2025-02-10 13:06:50] logging.py:157 >> Casting multimodal projector outputs in torch.float16. |
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|
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[INFO|2025-02-10 13:06:50] logging.py:157 >> Using torch SDPA for faster training and inference. |
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|
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[INFO|2025-02-10 13:06:50] logging.py:157 >> Upcasting trainable params to float32. |
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|
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[INFO|2025-02-10 13:06:50] logging.py:157 >> Fine-tuning method: LoRA |
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|
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[INFO|2025-02-10 13:06:50] logging.py:157 >> Found linear modules: o_proj,k_proj,gate_proj,q_proj,v_proj,down_proj,up_proj |
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[INFO|2025-02-10 13:06:50] logging.py:157 >> Set vision model not trainable: ['visual.patch_embed', 'visual.blocks']. |
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[INFO|2025-02-10 13:06:51] logging.py:157 >> trainable params: 9,232,384 || all params: 907,964,928 || trainable%: 1.0168 |
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[INFO|2025-02-10 13:06:51] trainer.py:741 >> Using auto half precision backend |
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[INFO|2025-02-10 13:06:51] trainer.py:2369 >> ***** Running training ***** |
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[INFO|2025-02-10 13:06:51] trainer.py:2370 >> Num examples = 565 |
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[INFO|2025-02-10 13:06:51] trainer.py:2371 >> Num Epochs = 3 |
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[INFO|2025-02-10 13:06:51] trainer.py:2372 >> Instantaneous batch size per device = 2 |
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[INFO|2025-02-10 13:06:51] trainer.py:2375 >> Total train batch size (w. parallel, distributed & accumulation) = 16 |
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[INFO|2025-02-10 13:06:51] trainer.py:2376 >> Gradient Accumulation steps = 8 |
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[INFO|2025-02-10 13:06:51] trainer.py:2377 >> Total optimization steps = 105 |
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[INFO|2025-02-10 13:06:51] trainer.py:2378 >> Number of trainable parameters = 9,232,384 |
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[INFO|2025-02-10 13:09:19] logging.py:157 >> {'loss': 0.5319, 'learning_rate': 4.9721e-05, 'epoch': 0.14, 'throughput': 602.45} |
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[INFO|2025-02-10 13:11:34] logging.py:157 >> {'loss': 0.3460, 'learning_rate': 4.8889e-05, 'epoch': 0.28, 'throughput': 612.79} |
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[INFO|2025-02-10 13:13:45] logging.py:157 >> {'loss': 0.3586, 'learning_rate': 4.7524e-05, 'epoch': 0.42, 'throughput': 618.32} |
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[INFO|2025-02-10 13:16:24] logging.py:157 >> {'loss': 0.3476, 'learning_rate': 4.5656e-05, 'epoch': 0.57, 'throughput': 618.07} |
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[INFO|2025-02-10 13:18:50] logging.py:157 >> {'loss': 0.2828, 'learning_rate': 4.3326e-05, 'epoch': 0.71, 'throughput': 619.26} |
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[INFO|2025-02-10 13:21:16] logging.py:157 >> {'loss': 0.3261, 'learning_rate': 4.0587e-05, 'epoch': 0.85, 'throughput': 619.90} |
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[INFO|2025-02-10 13:23:37] logging.py:157 >> {'loss': 0.1752, 'learning_rate': 3.7500e-05, 'epoch': 0.99, 'throughput': 618.49} |
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[INFO|2025-02-10 13:25:47] logging.py:157 >> {'loss': 0.1521, 'learning_rate': 3.4134e-05, 'epoch': 1.11, 'throughput': 618.88} |
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[INFO|2025-02-10 13:28:16] logging.py:157 >> {'loss': 0.1056, 'learning_rate': 3.0563e-05, 'epoch': 1.25, 'throughput': 619.19} |
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[INFO|2025-02-10 13:30:37] logging.py:157 >> {'loss': 0.2243, 'learning_rate': 2.6868e-05, 'epoch': 1.40, 'throughput': 616.89} |
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[INFO|2025-02-10 13:30:37] trainer.py:3910 >> Saving model checkpoint to saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-50 |
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[INFO|2025-02-10 13:30:38] configuration_utils.py:696 >> loading configuration file config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/config.json |
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[INFO|2025-02-10 13:30:38] configuration_utils.py:768 >> Model config Qwen2VLConfig { |
|
"_name_or_path": "Qwen/Qwen2-VL-2B-Instruct-319", |
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"architectures": [ |
|
"Qwen2VLForConditionalGeneration" |
|
], |
|
"attention_dropout": 0.0, |
|
"bos_token_id": 151643, |
|
"eos_token_id": 151645, |
|
"hidden_act": "silu", |
|
"hidden_size": 1536, |
|
"image_token_id": 151655, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 8960, |
|
"max_position_embeddings": 32768, |
|
"max_window_layers": 28, |
|
"model_type": "qwen2_vl", |
|
"num_attention_heads": 12, |
|
"num_hidden_layers": 28, |
|
"num_key_value_heads": 2, |
|
"quantization_config": { |
|
"bits": 4, |
|
"damp_percent": 0.1, |
|
"dataset": null, |
|
"desc_act": false, |
|
"group_size": 128, |
|
"modules_in_block_to_quantize": null, |
|
"quant_method": "gptq", |
|
"sym": true, |
|
"true_sequential": true |
|
}, |
|
"rms_norm_eps": 1e-06, |
|
"rope_scaling": { |
|
"mrope_section": [ |
|
16, |
|
24, |
|
24 |
|
], |
|
"rope_type": "default", |
|
"type": "default" |
|
}, |
|
"rope_theta": 1000000.0, |
|
"sliding_window": 32768, |
|
"tie_word_embeddings": true, |
|
"torch_dtype": "float16", |
|
"transformers_version": "4.48.2", |
|
"use_cache": true, |
|
"use_sliding_window": false, |
|
"video_token_id": 151656, |
|
"vision_config": { |
|
"hidden_size": 1536, |
|
"in_chans": 3, |
|
"model_type": "qwen2_vl", |
|
"spatial_patch_size": 14 |
|
}, |
|
"vision_end_token_id": 151653, |
|
"vision_start_token_id": 151652, |
|
"vision_token_id": 151654, |
|
"vocab_size": 151936 |
|
} |
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[INFO|2025-02-10 13:30:38] tokenization_utils_base.py:2491 >> tokenizer config file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-50/tokenizer_config.json |
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[INFO|2025-02-10 13:30:38] tokenization_utils_base.py:2500 >> Special tokens file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-50/special_tokens_map.json |
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[INFO|2025-02-10 13:30:38] image_processing_base.py:261 >> Image processor saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-50/preprocessor_config.json |
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[INFO|2025-02-10 13:30:38] tokenization_utils_base.py:2491 >> tokenizer config file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-50/tokenizer_config.json |
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[INFO|2025-02-10 13:30:38] tokenization_utils_base.py:2500 >> Special tokens file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-50/special_tokens_map.json |
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[INFO|2025-02-10 13:30:39] processing_utils.py:546 >> chat template saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-50/chat_template.json |
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[INFO|2025-02-10 13:33:01] logging.py:157 >> {'loss': 0.1218, 'learning_rate': 2.3132e-05, 'epoch': 1.54, 'throughput': 617.20} |
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[INFO|2025-02-10 13:35:32] logging.py:157 >> {'loss': 0.1474, 'learning_rate': 1.9437e-05, 'epoch': 1.68, 'throughput': 615.14} |
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[INFO|2025-02-10 13:37:46] logging.py:157 >> {'loss': 0.0559, 'learning_rate': 1.5866e-05, 'epoch': 1.82, 'throughput': 616.26} |
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[INFO|2025-02-10 13:40:12] logging.py:157 >> {'loss': 0.0936, 'learning_rate': 1.2500e-05, 'epoch': 1.96, 'throughput': 616.77} |
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[INFO|2025-02-10 13:42:00] logging.py:157 >> {'loss': 0.0648, 'learning_rate': 9.4128e-06, 'epoch': 2.08, 'throughput': 617.75} |
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[INFO|2025-02-10 13:44:11] logging.py:157 >> {'loss': 0.0676, 'learning_rate': 6.6737e-06, 'epoch': 2.23, 'throughput': 618.56} |
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[INFO|2025-02-10 13:46:37] logging.py:157 >> {'loss': 0.0947, 'learning_rate': 4.3440e-06, 'epoch': 2.37, 'throughput': 618.87} |
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[INFO|2025-02-10 13:49:14] logging.py:157 >> {'loss': 0.0447, 'learning_rate': 2.4758e-06, 'epoch': 2.51, 'throughput': 617.15} |
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[INFO|2025-02-10 13:51:34] logging.py:157 >> {'loss': 0.0535, 'learning_rate': 1.1107e-06, 'epoch': 2.65, 'throughput': 617.57} |
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[INFO|2025-02-10 13:54:02] logging.py:157 >> {'loss': 0.1107, 'learning_rate': 2.7923e-07, 'epoch': 2.79, 'throughput': 617.02} |
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[INFO|2025-02-10 13:54:02] trainer.py:3910 >> Saving model checkpoint to saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-100 |
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[INFO|2025-02-10 13:54:02] configuration_utils.py:696 >> loading configuration file config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/config.json |
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[INFO|2025-02-10 13:54:02] configuration_utils.py:768 >> Model config Qwen2VLConfig { |
|
"_name_or_path": "Qwen/Qwen2-VL-2B-Instruct-319", |
|
"architectures": [ |
|
"Qwen2VLForConditionalGeneration" |
|
], |
|
"attention_dropout": 0.0, |
|
"bos_token_id": 151643, |
|
"eos_token_id": 151645, |
|
"hidden_act": "silu", |
|
"hidden_size": 1536, |
|
"image_token_id": 151655, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 8960, |
|
"max_position_embeddings": 32768, |
|
"max_window_layers": 28, |
|
"model_type": "qwen2_vl", |
|
"num_attention_heads": 12, |
|
"num_hidden_layers": 28, |
|
"num_key_value_heads": 2, |
|
"quantization_config": { |
|
"bits": 4, |
|
"damp_percent": 0.1, |
|
"dataset": null, |
|
"desc_act": false, |
|
"group_size": 128, |
|
"modules_in_block_to_quantize": null, |
|
"quant_method": "gptq", |
|
"sym": true, |
|
"true_sequential": true |
|
}, |
|
"rms_norm_eps": 1e-06, |
|
"rope_scaling": { |
|
"mrope_section": [ |
|
16, |
|
24, |
|
24 |
|
], |
|
"rope_type": "default", |
|
"type": "default" |
|
}, |
|
"rope_theta": 1000000.0, |
|
"sliding_window": 32768, |
|
"tie_word_embeddings": true, |
|
"torch_dtype": "float16", |
|
"transformers_version": "4.48.2", |
|
"use_cache": true, |
|
"use_sliding_window": false, |
|
"video_token_id": 151656, |
|
"vision_config": { |
|
"hidden_size": 1536, |
|
"in_chans": 3, |
|
"model_type": "qwen2_vl", |
|
"spatial_patch_size": 14 |
|
}, |
|
"vision_end_token_id": 151653, |
|
"vision_start_token_id": 151652, |
|
"vision_token_id": 151654, |
|
"vocab_size": 151936 |
|
} |
|
|
|
|
|
[INFO|2025-02-10 13:54:02] tokenization_utils_base.py:2491 >> tokenizer config file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-100/tokenizer_config.json |
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|
|
[INFO|2025-02-10 13:54:02] tokenization_utils_base.py:2500 >> Special tokens file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-100/special_tokens_map.json |
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|
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[INFO|2025-02-10 13:54:02] image_processing_base.py:261 >> Image processor saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-100/preprocessor_config.json |
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[INFO|2025-02-10 13:54:02] tokenization_utils_base.py:2491 >> tokenizer config file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-100/tokenizer_config.json |
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|
|
[INFO|2025-02-10 13:54:02] tokenization_utils_base.py:2500 >> Special tokens file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-100/special_tokens_map.json |
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|
|
[INFO|2025-02-10 13:54:03] processing_utils.py:546 >> chat template saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-100/chat_template.json |
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|
[INFO|2025-02-10 13:56:39] logging.py:157 >> {'loss': 0.0806, 'learning_rate': 0.0000e+00, 'epoch': 2.93, 'throughput': 616.09} |
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|
[INFO|2025-02-10 13:56:39] trainer.py:3910 >> Saving model checkpoint to saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-105 |
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[INFO|2025-02-10 13:56:39] configuration_utils.py:696 >> loading configuration file config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/config.json |
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|
|
[INFO|2025-02-10 13:56:39] configuration_utils.py:768 >> Model config Qwen2VLConfig { |
|
"_name_or_path": "Qwen/Qwen2-VL-2B-Instruct-319", |
|
"architectures": [ |
|
"Qwen2VLForConditionalGeneration" |
|
], |
|
"attention_dropout": 0.0, |
|
"bos_token_id": 151643, |
|
"eos_token_id": 151645, |
|
"hidden_act": "silu", |
|
"hidden_size": 1536, |
|
"image_token_id": 151655, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 8960, |
|
"max_position_embeddings": 32768, |
|
"max_window_layers": 28, |
|
"model_type": "qwen2_vl", |
|
"num_attention_heads": 12, |
|
"num_hidden_layers": 28, |
|
"num_key_value_heads": 2, |
|
"quantization_config": { |
|
"bits": 4, |
|
"damp_percent": 0.1, |
|
"dataset": null, |
|
"desc_act": false, |
|
"group_size": 128, |
|
"modules_in_block_to_quantize": null, |
|
"quant_method": "gptq", |
|
"sym": true, |
|
"true_sequential": true |
|
}, |
|
"rms_norm_eps": 1e-06, |
|
"rope_scaling": { |
|
"mrope_section": [ |
|
16, |
|
24, |
|
24 |
|
], |
|
"rope_type": "default", |
|
"type": "default" |
|
}, |
|
"rope_theta": 1000000.0, |
|
"sliding_window": 32768, |
|
"tie_word_embeddings": true, |
|
"torch_dtype": "float16", |
|
"transformers_version": "4.48.2", |
|
"use_cache": true, |
|
"use_sliding_window": false, |
|
"video_token_id": 151656, |
|
"vision_config": { |
|
"hidden_size": 1536, |
|
"in_chans": 3, |
|
"model_type": "qwen2_vl", |
|
"spatial_patch_size": 14 |
|
}, |
|
"vision_end_token_id": 151653, |
|
"vision_start_token_id": 151652, |
|
"vision_token_id": 151654, |
|
"vocab_size": 151936 |
|
} |
|
|
|
|
|
[INFO|2025-02-10 13:56:40] tokenization_utils_base.py:2491 >> tokenizer config file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-105/tokenizer_config.json |
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|
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[INFO|2025-02-10 13:56:40] tokenization_utils_base.py:2500 >> Special tokens file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-105/special_tokens_map.json |
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|
[INFO|2025-02-10 13:56:40] image_processing_base.py:261 >> Image processor saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-105/preprocessor_config.json |
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|
|
[INFO|2025-02-10 13:56:40] tokenization_utils_base.py:2491 >> tokenizer config file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-105/tokenizer_config.json |
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|
|
[INFO|2025-02-10 13:56:40] tokenization_utils_base.py:2500 >> Special tokens file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-105/special_tokens_map.json |
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|
|
[INFO|2025-02-10 13:56:40] processing_utils.py:546 >> chat template saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/checkpoint-105/chat_template.json |
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|
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[INFO|2025-02-10 13:56:40] trainer.py:2643 >> |
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|
|
Training completed. Do not forget to share your model on huggingface.co/models =) |
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[INFO|2025-02-10 13:56:40] image_processing_base.py:261 >> Image processor saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/preprocessor_config.json |
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[INFO|2025-02-10 13:56:40] tokenization_utils_base.py:2491 >> tokenizer config file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/tokenizer_config.json |
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[INFO|2025-02-10 13:56:40] tokenization_utils_base.py:2500 >> Special tokens file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/special_tokens_map.json |
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[INFO|2025-02-10 13:56:41] processing_utils.py:546 >> chat template saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/chat_template.json |
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[INFO|2025-02-10 13:56:41] trainer.py:3910 >> Saving model checkpoint to saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4 |
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[INFO|2025-02-10 13:56:41] configuration_utils.py:696 >> loading configuration file config.json from cache at /home/intern01/.cache/huggingface/hub/models--Qwen--Qwen2-VL-2B-Instruct-GPTQ-Int4/snapshots/531c1cb12987e4f4cebdf8df41e08d1c570be0ed/config.json |
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|
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[INFO|2025-02-10 13:56:41] configuration_utils.py:768 >> Model config Qwen2VLConfig { |
|
"_name_or_path": "Qwen/Qwen2-VL-2B-Instruct-319", |
|
"architectures": [ |
|
"Qwen2VLForConditionalGeneration" |
|
], |
|
"attention_dropout": 0.0, |
|
"bos_token_id": 151643, |
|
"eos_token_id": 151645, |
|
"hidden_act": "silu", |
|
"hidden_size": 1536, |
|
"image_token_id": 151655, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 8960, |
|
"max_position_embeddings": 32768, |
|
"max_window_layers": 28, |
|
"model_type": "qwen2_vl", |
|
"num_attention_heads": 12, |
|
"num_hidden_layers": 28, |
|
"num_key_value_heads": 2, |
|
"quantization_config": { |
|
"bits": 4, |
|
"damp_percent": 0.1, |
|
"dataset": null, |
|
"desc_act": false, |
|
"group_size": 128, |
|
"modules_in_block_to_quantize": null, |
|
"quant_method": "gptq", |
|
"sym": true, |
|
"true_sequential": true |
|
}, |
|
"rms_norm_eps": 1e-06, |
|
"rope_scaling": { |
|
"mrope_section": [ |
|
16, |
|
24, |
|
24 |
|
], |
|
"rope_type": "default", |
|
"type": "default" |
|
}, |
|
"rope_theta": 1000000.0, |
|
"sliding_window": 32768, |
|
"tie_word_embeddings": true, |
|
"torch_dtype": "float16", |
|
"transformers_version": "4.48.2", |
|
"use_cache": true, |
|
"use_sliding_window": false, |
|
"video_token_id": 151656, |
|
"vision_config": { |
|
"hidden_size": 1536, |
|
"in_chans": 3, |
|
"model_type": "qwen2_vl", |
|
"spatial_patch_size": 14 |
|
}, |
|
"vision_end_token_id": 151653, |
|
"vision_start_token_id": 151652, |
|
"vision_token_id": 151654, |
|
"vocab_size": 151936 |
|
} |
|
|
|
|
|
[INFO|2025-02-10 13:56:42] tokenization_utils_base.py:2491 >> tokenizer config file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/tokenizer_config.json |
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[INFO|2025-02-10 13:56:42] tokenization_utils_base.py:2500 >> Special tokens file saved in saves/Qwen2-VL-2B-Instruct-GPTQ-Int4/lora/250210_Abroad_LoRA_2B_INT4/special_tokens_map.json |
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[WARNING|2025-02-10 13:56:42] logging.py:162 >> No metric eval_loss to plot. |
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[WARNING|2025-02-10 13:56:42] logging.py:162 >> No metric eval_accuracy to plot. |
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[INFO|2025-02-10 13:56:42] modelcard.py:449 >> Dropping the following result as it does not have all the necessary fields: |
|
{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}} |
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