akseljoonas/biotech-sentiment-A2-deberta-large-ce

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biotech-sentiment-A2-deberta-large-ce

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1233
• —F1 Macro: 0.1184
• —F1 Weighted: 0.0767
• —Accuracy: 0.2159
• —F1 Neg: 0.0
• —F1 Neu: 0.0
• —F1 Pos: 0.3551

Model description

More information needed

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
• —trainbatchsize: 16
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 10

Training results

Framework versions

• —Transformers 5.3.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.8.2
• —Tokenizers 0.22.2