[NewFeature] Add Minigpt4 Train Code #119
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jerrywgz
reviewed
Sep 6, 2023
| "CosineDecayWithWarmup", | ||
| "FilterParamsName", | ||
| ] | ||
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这部分现在放在optimization
里，如果是定制化较强的opt，再新建xxx_optimizer文件
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在optimization.py修改了之前的CosineDecayWithWarmup，在clip_optimizer.py中，删掉了
jerrywgz
reviewed
Sep 15, 2023
| # limitations under the License. | ||
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| import os | ||
| os.environ["CUDA_VISIBLE_DEVICES"] = "7" |
| # if you wanna train from scratch, you can set del_keys = ["language_projection.weight", "language_projection.bias"] | ||
| del_keys = [] | ||
| logger.info("Try to load the specified model.") | ||
| load_pretrained_model(model, training_args.pretrained_model_path, del_keys=del_keys) |
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这里可以统一用model.load_pretrained接口，参考blip2实现
另外需要统一trainer
| @@ -40,41 +40,43 @@ class CosineDecayWithWarmup(LRScheduler): | |||
| def __init__( | |||
| self, | |||
| learning_rate, | |||
| epochs, | |||
| total_steps, | |||
| @@ -150,20 +188,14 @@ def process_texts( | |||
| assemble_texts.append(prompt.replace(self.text_tag, text)) | |||
| else: | |||
| assemble_texts.append(text) | |||
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| # breakpoint() | |||
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