Davlan / xlm-roberta-large-finetuned-igbo

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Total runs: 23
24-hour runs: -2
7-day runs: -6
30-day runs: -3
Model's Last Updated: June 25 2023
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Introduction of xlm-roberta-large-finetuned-igbo

Model Details of xlm-roberta-large-finetuned-igbo

ibo_xlmr

This model is a fine-tuned version of models/ibo_xlmr/ on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.9762
  • eval_runtime: 31.9667
  • eval_samples_per_second: 32.471
  • eval_steps_per_second: 4.067
  • step: 0
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-05
  • train_batch_size: 5
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 10
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
Framework versions
  • Transformers 4.21.1
  • Pytorch 1.7.1+cu110
  • Datasets 1.16.1
  • Tokenizers 0.12.1

Runs of Davlan xlm-roberta-large-finetuned-igbo on huggingface.co

23
Total runs
-2
24-hour runs
-1
3-day runs
-6
7-day runs
-3
30-day runs

More Information About xlm-roberta-large-finetuned-igbo huggingface.co Model

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xlm-roberta-large-finetuned-igbo install

xlm-roberta-large-finetuned-igbo is an open source model from GitHub that offers a free installation service, and any user can find xlm-roberta-large-finetuned-igbo on GitHub to install. At the same time, huggingface.co provides the effect of xlm-roberta-large-finetuned-igbo install, users can directly use xlm-roberta-large-finetuned-igbo installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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