Upload 3 files
Browse files- .gitattributes +1 -0
- step_1100000.t7 +3 -0
- token_maps.pkl +3 -0
- util.py +45 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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step_1100000.t7 filter=lfs diff=lfs merge=lfs -text
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step_1100000.t7
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version https://git-lfs.github.com/spec/v1
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oid sha256:010ec7ed8eda7b8aecd34e0188e3fbe6177d39fbc2a048e39a0d9c520de73344
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size 625546448
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token_maps.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:fdb2b72e90be652f176c44fe4b101b897167bf1cd669ad76e11e9400928cc848
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size 1858692
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util.py
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import os
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import yaml
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import torch
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from transformers import AlbertConfig, AlbertModel
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class CustomAlbert(AlbertModel):
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def forward(self, *args, **kwargs):
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# Call the original forward method
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outputs = super().forward(*args, **kwargs)
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# Only return the last_hidden_state
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return outputs.last_hidden_state
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def load_plbert(log_dir):
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config_path = os.path.join(log_dir, "config.yml")
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plbert_config = yaml.safe_load(open(config_path))
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albert_base_configuration = AlbertConfig(**plbert_config['model_params'])
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bert = CustomAlbert(albert_base_configuration)
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files = os.listdir(log_dir)
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ckpts = []
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for f in os.listdir(log_dir):
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if f.startswith("step_"): ckpts.append(f)
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iters = [int(f.split('_')[-1].split('.')[0]) for f in ckpts if os.path.isfile(os.path.join(log_dir, f))]
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iters = sorted(iters)[-1]
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checkpoint = torch.load(log_dir + "/step_" + str(iters) + ".t7", map_location='cpu')
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state_dict = checkpoint['net']
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from collections import OrderedDict
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new_state_dict = OrderedDict()
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for k, v in state_dict.items():
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name = k[7:] # remove `module.`
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if name.startswith('encoder.'):
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name = name[8:] # remove `encoder.`
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new_state_dict[name] = v
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try:
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del new_state_dict["embeddings.position_ids"]
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except KeyError:
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pass
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bert.load_state_dict(new_state_dict, strict=False)
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return bert
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