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EMOTION-AI-modernbert-large

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modernbert
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metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: EMOTION-AI-modernbert-large
    results: []

EMOTION-AI-modernbert-large

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

  • Loss: 1.7181
  • Accuracy: 0.5725

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
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
6.7571 1.0 645 1.3419 0.5689
4.9223 2.0 1290 1.2715 0.5910
3.9903 3.0 1935 1.4913 0.5767
1.32 3.9946 2576 1.7181 0.5725

Framework versions

  • Transformers 4.48.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0