Comments (2)
Hi,
Can you show me the details of your running script?
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@flow3rdown
Thank you for fast comment.
I'm gonna sharing my script on colab env and running script. Thank you
{'dataset_name': 'twitter15', 'bert_name': 'bert-base-uncased', 'num_epochs': 30, 'device': 'cuda', 'batch_size': 32, 'lr': 1e-05, 'warmup_ratio': 0.01, 'eval_begin_epoch': 16, 'seed': 1, 'prompt_len': 10, 'prompt_dim': 800, 'load_path': None, 'save_path': None, 'write_path': None, 'notes': '', 'use_prompt': 'store_true', 'do_train': 'store_true', 'only_test': 'store_true', 'max_seq': 128, 'ignore_idx': -100, 'sample_ratio': 1.0}
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Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertModel: ['cls.predictions.bias', 'cls.seq_relationship.bias', 'cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.decoder.weight', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.dense.bias']
- 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).
Downloading: "https://download.pytorch.org/models/resnet50-19c8e357.pth" to /root/.cache/torch/hub/checkpoints/resnet50-19c8e357.pth
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Epoch 1/30: 0%| | 0/3750 [00:00<?, ?it/s, loss:{0:<6.5f}]
https://colab.research.google.com/drive/1AB3vFLgxZNWY4tnZB5welgnmWq3W3brm?usp=sharing
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Related Issues (18)
- How to test the RE models HOT 2
- 关系数据集中object image的获取方案? HOT 2
- What are the details of using the visual grouding tool? HOT 2
- No error HOT 2
- Question about Twitter-2015 HOT 2
- data preprocess HOT 1
- 关于MRE任务中F1计算的问题 HOT 2
- 关于 使用 visual grouding 工具提取局部视觉图像的代码实现,能提供一下吗 HOT 4
- question HOT 5
- 关于论文中对比实验的疑问? HOT 5
- Request for the object image data HOT 2
- Question about the "Segmentation fault (core dumped)" error
- Not putting parameters into optimizer but still trainable HOT 3
- Twitter15数据集修改部分实体类别 HOT 4
- RE数据集下载太慢 HOT 7
- Twitter15_ckpt, Twitter17_ckpt,re_ckpt需要访问权限 HOT 2
- Question about get_visual_prompt HOT 2
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