Conette

Latest version: v0.3.1

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0.3.1

Fixed
- Remove duplicated files in `results` folder.
- CNN10 and CNN14D pre-process transform instantiation.

0.3.0

Changed
- Update dependencies with `torchoutil`, and clean a lot of dead code.
- Convnext model (BL version) is now automatically selected during HDF preparation. ([5](https://github.com/Labbeti/conette-audio-captioning/issues/5))

Fixed
- Requirements versions specified during installation. ([4](https://github.com/Labbeti/conette-audio-captioning/issues/4))
- Preparation now correctly loads `scale_layers` in ConvNext during preparation. ([5](https://github.com/Labbeti/conette-audio-captioning/issues/5))
- ConvNeXt 75 iterations is now loaded instead of ConvNeXt 70 iterations for CoNeTTE.

0.2.2

Added
- Multiple candidates, predictions and probabilities in model outputs.
- `train_and_enable_grad` method in `CoNeTTEModel` class.

Changed
- Rename `eval_and_detach` to `eval_and_disable_grad` in `CoNeTTEModel` class.

0.2.1

Added
- `conette-predict` now support CNext-trans (baseline) model.

0.2.0

Added
- CoNeTTE training source code, with entire data processing.
- ConvNeXt-trans baseline training source code, with entire data processing.
- ConvNeXt tag logits to CoNeTTE model outputs during inference.

0.1.4

Fixed
- Fix forbid repetition mode argument.

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