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End of training
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metadata
license: mit
base_model: RogerB/afro-xlmr-large-kinte-domain-kinte-task
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: afro-xlmr-large-kinte-domain-kinte-task-unkin-sent2
    results: []

afro-xlmr-large-kinte-domain-kinte-task-unkin-sent2

This model is a fine-tuned version of RogerB/afro-xlmr-large-kinte-domain-kinte-task on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8639
  • F1: 0.7066

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: 5e-06
  • train_batch_size: 4
  • eval_batch_size: 4
  • 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 F1
0.8951 1.0 1013 0.6552 0.7338
0.7267 2.0 2026 0.5308 0.8014
0.6127 3.0 3039 0.5082 0.8246

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1