emotions-entailment/distilbert-8-4-1.1

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distilbert-emotions-8-4-1.1

This model is a fine-tuned version of distilbert/distilbert-base-uncased. It achieves the following results on the evaluation set:

• —Loss: 0.3143
• —F1 Micro: 0.7945
• —F1 Macro: 0.7508
• —Precision Micro: 0.8447
• —Recall Micro: 0.75

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 24
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 3143
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.10.2
• —Pytorch 2.11.0+cu128
• —Datasets 4.8.5
• —Tokenizers 0.22.2