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PaParaZz1
added
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PaParaZz1
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Nov 15, 2023
ding/bonus/ppof.py
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| from .model import PPOFModel | ||
| from .config import get_instance_config, get_instance_env, get_hybrid_shape | ||
| from ding.bonus.common import TrainingReturn, EvalReturn | ||
| from ..framework.middleware.collector import ChatCollector |
| """ | ||
| Overview: | ||
| The class of the collector running by steps, including model inference and transition \ | ||
| process. Use the `__call__` method to execute the whole collection process. |
ding/model/common/utils.py
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| def top_p_logits(logits, topp=0.9, filter_value=0, min_topk=1): | ||
| """ | ||
| Filter a distribution of logits using nucleus (top-p) filtering |
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polish comments add add unittest
ding/model/common/utils.py
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| if topp > 0: | ||
| logits_sorted, inds = torch.sort(logits, dim=-1, descending=True) | ||
| mask = (logits_sorted.cumsum(dim=-1) - logits_sorted) >= topp | ||
| mask[:, :min_topk] = False |
ding/model/template/vac.py
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| @@ -1,4 +1,7 @@ | |||
| from typing import Union, Dict, Optional | |||
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move these modifications to a new single file: lm_vac.py
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| def __init__(self, config, opt, tokenizer): | ||
| super().__init__(config) | ||
| self.opt = opt |
| else: | ||
| logits = self.reward_head(output.last_hidden_state).squeeze(-1) | ||
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| return (logits, ) |
| self._init_flag = False | ||
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| def reset(self): | ||
| self.last_batch = next(self.generator) |
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Do you need to restrat generatore here?
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| class LlamaRewardModel(LlamaForCausalLM): | ||
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| def __init__(self, config, opt, tokenizer): |
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Should we move the creation of tokenizer insides the constructor of RM?
| @@ -0,0 +1,50 @@ | |||
| from easydict import EasyDict | |||
Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## main #748 +/- ##
==========================================
+ Coverage 76.78% 76.83% +0.04%
==========================================
Files 671 674 +3
Lines 53196 53935 +739
==========================================
+ Hits 40847 41440 +593
- Misses 12349 12495 +146
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