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raph30370 commited on
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bbe96df
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  1. .gitattributes +1 -0
  2. step_1100000.t7 +3 -0
  3. token_maps.pkl +3 -0
  4. util.py +45 -0
.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zip 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
step_1100000.t7 ADDED
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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
token_maps.pkl ADDED
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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
util.py ADDED
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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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+
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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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+
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+ # Only return the last_hidden_state
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+ return outputs.last_hidden_state
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+
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ return bert