camembert model This model is a fine tuned version of camembert base on the French subset of the tweet sentiment multilingual dataset, augmented with additional curated sentiment data from various sources. . It achieves the following results on the evaluation set: Loss: 0.7877 Accuracy: 0.7654 Model description A sentiment Classifier for the french language classifies french text to positive, negative or neutral. Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: learning rate: 2e 05 train batch size: 16 eval batch size: 16 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear num epochs: 10 Training results Training Loss Epoch Step Validation Loss Accuracy : : : : : : : : : : No log 1.0 115 0.8510 0.6265 No log 2.0 230 0.7627 0.7130 No log 3.0 345 0.6966 0.7160 No log 4.0 460 0.6862 0.7438 0.7126 5.0 575 0.6637 0.75 0.7126 6.0 690 0.7121 0.7654 0.7126 7.0 805 0.7641 0.7438 0.7126 8.0 920 0.7662 0.7654 0.2932 9.0 1035 0.7765 0.7747 0.2932 10.0 1150 0.7877 0.7654 Framework versions Transformer…
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