kalpeshk2011 commited on
Commit
d00deae
1 Parent(s): 66cb577
Files changed (3) hide show
  1. config.json +34 -0
  2. modeling_rankgen.py +19 -0
  3. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "rankgen-models-hf/rankgen-t5-large-all",
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+ "architectures": [
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+ "T5EncoderWithProjection"
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+ ],
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+ "auto_map": {
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+ "AutoModel": "modeling_rankgen.T5EncoderWithProjection"
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+ },
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+ "d_ff": 2816,
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+ "d_kv": 64,
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+ "d_model": 1024,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-gelu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "num_decoder_layers": 24,
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+ "num_heads": 16,
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+ "num_layers": 24,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.20.1",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
modeling_rankgen.py ADDED
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+ import torch
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+ import tqdm
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+ from torch import nn
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+ from transformers import T5PreTrainedModel, T5EncoderModel
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+
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+ class T5EncoderWithProjection(T5PreTrainedModel):
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+ def __init__(self, config):
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+ super().__init__(config)
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+ self.config = config
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+ self.t5_encoder = T5EncoderModel(config)
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+ self.projection = nn.Linear(config.d_model, config.d_model, bias=False)
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+ # Initialize weights and apply final processing
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+ self.post_init()
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+
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+ def forward(self, **input_args):
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+ hidden_states = self.t5_encoder(**input_args).last_hidden_state
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+ hidden_states = hidden_states[:, 0, :]
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+ batch_embeddings = self.projection(hidden_states)
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+ return batch_embeddings
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9e41327687cf94fcf85524b03d585641cd1850ec9b1c176c6a6207bb9f52726a
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+ size 1369192009