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MRC_ER_InfoXLM-large_syl_ViWikiFC

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metadata
library_name: transformers
base_model: tringuyen-uit/MRC_ER_InfoXLM-large_syl_ViWikiFC
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: MRC_ER_InfoXLM-large_syl_ViWikiFC
    results: []

MRC_ER_InfoXLM-large_syl_ViWikiFC

This model is a fine-tuned version of tringuyen-uit/MRC_ER_InfoXLM-large_syl_ViWikiFC on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0554
  • Exact Match: 0.8014
  • F1: 0.8226

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Exact Match F1
0.4434 1.0 8369 2.8731 0.7904 0.8126
0.2108 2.0 16738 3.0554 0.8014 0.8226

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1