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a frozen CLIP, a fully trained Mapping Module (6x Transformer Encoder Layers) and with partially frozen GPT-2 (the first and last 14 layers were trained). -The training process was carried out using the [Kaggle](https://www.kaggle.com/) P100 GPU. Training time is about 2 x 11h (106 epochs) with a linearly changing learning rate (from 0 to 0.0001908) and batch size 64. Originally, the Model was supposed to be trained longer - which results in a non-standard LR. *I also tried a longer training session (150 epochs), but overtraining was noticeable.* +The training process was carried out using the [Kaggle](https://www.kaggle.com/) P100 GPU. Training time - about 3 x 11h (150 epochs) with a linear learning rate warmup (max LR `3e-3`) and batch size 64. -### Example results - -![Example1](./examples/23012796.jpg) +#### Loss and Learning Rate during training -![Example2](./examples/3787801.jpg) +![LOSSxLR](./examples/loss_lr.jpg) -![Example3](./examples/7757242158.jpg) +### Example results -As I said, the goal was to test the Model's ability to recognize the situation. In the next phase of the experiments, I will try to improve the Model process and parameters to achieve better captions with the same dataset. +![Example1](./examples/23012796.jpg) +![Example2](./examples/36979.jpg) +![Example3](./examples/89407459.jpg) ### Usage @@ -36,7 +36,10 @@ Create environment and install requirements: ```bash python -m venv venv +# for windows .\venv\Scripts\activate +# for linux/mac +source venv/bin/activate pip install -r requirements.txt ``` diff --git a/src/training.py b/src/training.py index d6d1555..1ccbe51 100644 --- a/src/training.py +++ b/src/training.py @@ -90,7 +90,7 @@ start_epoch, total_train_loss, total_valid_loss = ( load_ckp(ckp_path, model, optimizer, scheduler, scaler, device) if os.path.isfile(ckp_path) else - 0, [], [] + (0, [], []) ) # build train model process with experiment tracking from wandb diff --git a/src/utils/config.py b/src/utils/config.py index e3e5a17..1225945 100644 --- a/src/utils/config.py +++ b/src/utils/config.py @@ -15,8 +15,8 @@ class Config: num_workers: int = 2 train_size: int = 0.84 val_size: int = 0.13 - epochs: int = 200 - lr: int = 6e-3 + epochs: int = 150 + lr: int = 3e-3 k: float = 0.33 batch_size_exp: int = 6 ep_len: int = 4 diff --git a/src/utils/load_ckp.py b/src/utils/load_ckp.py index de80b84..1e5a2bf 100644 --- a/src/utils/load_ckp.py +++ b/src/utils/load_ckp.py @@ -29,4 +29,4 @@ def download_weights(checkpoint_fpath): Downloads weights from Google Drive. ''' - gdown.download('https://drive.google.com/uc?id=1lEufQVOETFEIhPdFDYaez31uroq_5Lby', checkpoint_fpath, quiet=False) \ No newline at end of file + gdown.download('https://drive.google.com/uc?id=10ieSMMJzE9EeiPIF3CMzeT4timiQTjHV', checkpoint_fpath, quiet=False) \ No newline at end of file