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Duplicate from CodeDPO/qwen_coder_2.5_rm

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.gitattributes ADDED
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ ## Uses
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+
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+ ```python
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+ import torch
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+ import torch.nn as nn
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+ from transformers import Qwen2ForCausalLM, AutoTokenizer
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+ class ValueHead(nn.Module):
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+ r"""
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+ The ValueHead class implements a head for GPT2 that returns a scalar for each output token.
15
+ """
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+
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+ def __init__(self, config, **kwargs):
18
+ super().__init__()
19
+ if not hasattr(config, "summary_dropout_prob"):
20
+ summary_dropout_prob = kwargs.pop("summary_dropout_prob", 0.1)
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+ else:
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+ summary_dropout_prob = config.summary_dropout_prob
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+
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+ self.dropout = (
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+ nn.Dropout(summary_dropout_prob) if summary_dropout_prob else nn.Identity()
26
+ )
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+
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+ # some models such as OPT have a projection layer before the word embeddings - e.g. OPT-350m
29
+ if hasattr(config, "hidden_size"):
30
+ hidden_size = config.hidden_size
31
+ if hasattr(config, "word_embed_proj_dim"):
32
+ hidden_size = config.word_embed_proj_dim
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+ elif hasattr(config, "is_encoder_decoder"):
34
+ if config.is_encoder_decoder and hasattr(config, "decoder"):
35
+ if hasattr(config.decoder, "hidden_size"):
36
+ hidden_size = config.decoder.hidden_size
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+
38
+ self.summary = nn.Linear(hidden_size, 1)
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+
40
+ self.flatten = nn.Flatten()
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+
42
+ def forward(self, hidden_states):
43
+ output = self.dropout(hidden_states)
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+
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+ # For now force upcast in fp32 if needed. Let's keep the
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+ # output in fp32 for numerical stability.
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+ if output.dtype != self.summary.weight.dtype:
48
+ output = output.to(self.summary.weight.dtype)
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+
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+ output = self.summary(output)
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+ return output
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+
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+
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+ class Qwen2ForCausalRM(Qwen2ForCausalLM):
55
+ def __init__(self, config):
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+ super().__init__(config)
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+ self.v_head = ValueHead(config)
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+
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+ def forward(
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+ self,
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+ input_ids=None,
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+ past_key_values=None,
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+ attention_mask=None,
64
+ return_past_key_values=False,
65
+ **kwargs,
66
+ ):
67
+ r"""
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+ Applies a forward pass to the wrapped model and returns the logits of the value head.
69
+
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+ Args:
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+ input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`):
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+ Indices of input sequence tokens in the vocabulary.
73
+ past_key_values (`tuple(tuple(torch.FloatTensor))`, `optional`):
74
+ Contains pre-computed hidden-states (key and values in the attention blocks) as computed by the model
75
+ (see `past_key_values` input) to speed up sequential decoding.
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+ attention_mask (`torch.FloatTensor` of shape `(batch_size, sequence_length)`, `optional`):
77
+ Mask to avoid performing attention on padding token indices. Mask values selected in ``[0, 1]``:
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+ - 1 for tokens that are **not masked**,
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+ - 0 for tokens that are **masked**.
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+ return_past_key_values (bool): A flag indicating if the computed hidden-states should be returned.
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+ kwargs (`dict`, `optional`):
82
+ Additional keyword arguments, that are passed to the wrapped model.
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+ """
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+ kwargs["output_hidden_states"] = (
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+ True # this had already been set in the LORA / PEFT examples
86
+ )
87
+ kwargs["past_key_values"] = past_key_values
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+
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+ # if (
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+ # self.is_peft_model
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+ # and
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+ # self.pretrained_model.active_peft_config.peft_type == "PREFIX_TUNING"
93
+ # ):
94
+ # kwargs.pop("past_key_values")
95
+
96
+ base_model_output = super().forward(
97
+ input_ids=input_ids,
98
+ attention_mask=attention_mask,
99
+ **kwargs,
100
+ )
101
+
102
+ last_hidden_state = base_model_output.hidden_states[-1]
103
+ lm_logits = base_model_output.logits
104
+ loss = base_model_output.loss
105
+
106
+ if last_hidden_state.device != self.v_head.summary.weight.device:
107
+ last_hidden_state = last_hidden_state.to(self.v_head.summary.weight.device)
108
+
109
+ value = self.v_head(last_hidden_state).squeeze(-1)
110
+
111
+ # force upcast in fp32 if logits are in half-precision
112
+ if lm_logits.dtype != torch.float32:
113
+ lm_logits = lm_logits.float()
114
+
115
+ if return_past_key_values:
116
+ return (lm_logits, loss, value, base_model_output.past_key_values)
117
+ else:
118
+ return (lm_logits, loss, value)
119
+
120
+ model_path = "CodeDPO/qwen_coder_2.5_rm"
121
+ model = Qwen2ForCausalRM.from_pretrained(model_path, device_map="auto")
122
+ tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
123
+ input_chat = [
124
+ {"role": "user", "content": "Hello, how are you?"},
125
+ {
126
+ "role": "assistant",
127
+ "content": "I'm doing great. How can I help you today?",
128
+ },
129
+ {
130
+ "role": "user",
131
+ "content": "I'd like to show off how chat templating works!",
132
+ },
133
+ ]
134
+ input_tokens = tokenizer.apply_chat_template(
135
+ input_chat,
136
+ tokenize=True,
137
+ return_dict=True,
138
+ padding=True,
139
+ return_tensors="pt",
140
+ ).to(model.device)
141
+ _, _, values = model(
142
+ **input_tokens,
143
+ output_hidden_states=True,
144
+ return_dict=True,
145
+ use_cache=False,
146
+ )
147
+ masks = input_tokens["attention_mask"]
148
+ chosen_scores = values.gather(
149
+ dim=-1, index=(masks.sum(dim=-1, keepdim=True) - 1)
150
+ ) # find the last token (eos) in each sequence, a
151
+ chosen_scores = chosen_scores.squeeze()
152
+ print(chosen_scores)
153
+ ```
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config.json ADDED
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+ {
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+ "_name_or_path": "./export_model/qwen_coder_2.5_7b_rm_inf",
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+ "architectures": [
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+ "Qwen2ForCausalRM"
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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": 3584,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 18944,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 28,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 28,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 4,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.45.2",
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+ "use_cache": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
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+ "top_p": 0.8,
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+ "transformers_version": "4.45.2"
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+ }
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