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roberta-imgtext-intent-v3

Text Classification
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roberta
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metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: roberta-imgtext-intent-v3
    results: []

roberta-imgtext-intent-v3

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

  • Loss: 0.0380
  • Accuracy: 0.9940

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: 16
  • seed: 42
  • 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

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0446 1.0 1789 0.0310 0.9931
0.0252 2.0 3578 0.0383 0.9938
0.0121 3.0 5367 0.0360 0.9937
0.0027 4.0 7156 0.0380 0.9940

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0