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metadata
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: my_awesome_IMDB_roberta
    results: []

my_awesome_IMDB_roberta

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

  • Loss: 0.6932
  • Accuracy: 0.5

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: 4e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • 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: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7042 1.0 3125 0.7165 0.5
0.703 2.0 6250 0.6988 0.5
0.7011 3.0 9375 0.6976 0.5
0.701 4.0 12500 0.6945 0.5
0.6971 5.0 15625 0.6980 0.5
0.6975 6.0 18750 0.6934 0.5
0.697 7.0 21875 0.6949 0.5
0.6962 8.0 25000 0.6935 0.5
0.6952 9.0 28125 0.6933 0.5
0.6957 10.0 31250 0.6932 0.5

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3