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metadata
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: XMLRoberta_Dataset9kMeta
    results: []

Visualize in Weights & Biases

XMLRoberta_Dataset9kMeta

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

  • Loss: 0.2475
  • Accuracy: 0.9498
  • F1: 0.9499

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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • 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 F1
No log 1.6461 200 0.2426 0.9319 0.9192
0.4716 3.2922 400 0.2306 0.9226 0.9152
0.1801 4.9383 600 0.2223 0.9464 0.9457
0.118 6.5844 800 0.2062 0.9498 0.9492
0.0819 8.2305 1000 0.2399 0.9498 0.9504
0.0819 9.8765 1200 0.2475 0.9498 0.9499

Framework versions

  • Transformers 4.43.1
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1