Upload 2 files
Browse files- config.py +64 -0
- decode_config.yaml +58 -0
config.py
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# Copyright (2024) Tsinghua University, Bytedance Ltd. and/or its affiliates
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import logging
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from omegaconf import OmegaConf
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class Config:
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def __init__(self, args):
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self.config = {}
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self.args = args
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user_config = self._build_opt_list(self.args.options)
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config = OmegaConf.load(self.args.cfg_path)
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config = OmegaConf.merge(config, user_config)
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self.config = config
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def _convert_to_dot_list(self, opts):
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if opts is None:
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opts = []
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if len(opts) == 0:
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return opts
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has_equal = opts[0].find("=") != -1
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if has_equal:
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return opts
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return [(opt + "=" + value) for opt, value in zip(opts[0::2], opts[1::2])]
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def _build_opt_list(self, opts):
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opts_dot_list = self._convert_to_dot_list(opts)
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return OmegaConf.from_dotlist(opts_dot_list)
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def pretty_print(self):
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logging.info("\n===== Running Parameters =====")
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logging.info(self._convert_node_to_json(self.config.run))
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logging.info("\n====== Dataset Attributes ======")
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logging.info(self._convert_node_to_json(self.config.datasets))
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logging.info(f"\n====== Model Attributes ======")
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logging.info(self._convert_node_to_json(self.config.model))
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def _convert_node_to_json(self, node):
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container = OmegaConf.to_container(node, resolve=True)
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return json.dumps(container, indent=4, sort_keys=True)
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def to_dict(self):
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return OmegaConf.to_container(self.config)
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decode_config.yaml
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# Copyright (2024) Tsinghua University, Bytedance Ltd. and/or its affiliates
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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model:
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# paths
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llama_path: "DeepSeek-R1-Distill-Qwen-1.5B/"
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whisper_path: "distil-whisper/distil-large-v3/"
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beats_path: "BEATs_iter3_plus_AS2M_finetuned_on_AS2M_cpt2.pt"
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ckpt: "tiny_all_tasks_319.pth"
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freeze_whisper: True
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freeze_beats: True
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# window-level Q-Former
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use_speech_Qformer: True
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freeze_speech_QFormer: False
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window_level_Qformer: True
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num_speech_query_token: 1
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second_per_window: 0.333333
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second_stride: 0.333333
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speech_llama_proj_model: ""
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freeze_speech_llama_proj: False
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# LoRA
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lora: True
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lora_rank: 8
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lora_alpha: 32
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lora_dropout: 0.1
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multi_prompt: True
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prompt_template: "USER: {}\nASSISTANT:"
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prompt_path: "prompts/train_prompt.json"
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test_prompt_path: "prompts/test_prompt.json"
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max_txt_len: 300
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end_sym: "</s>"
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generate:
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max_new_tokens: 200
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num_beams: 4
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do_sample: False
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min_length: 1
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temperature: 1.0
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top_p: 0.9
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repetition_penalty: 1.0
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length_penalty: 1.0
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