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metadata
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
  - generated_from_trainer
model-index:
  - name: token-classification-llmlingua2-xlm-roberta-bctn-38k_chunk
    results: []

token-classification-llmlingua2-xlm-roberta-bctn-38k_chunk

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0110

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.215 0.53 500 0.1378
0.1128 1.05 1000 0.0334
0.0527 1.58 1500 0.0155
0.0316 2.11 2000 0.0113
0.023 2.63 2500 0.0110

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.1+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2