yosefw / roberta-medium-amharic-32k-v2

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 2
30-day runs: 4
Model's Last Updated: November 04 2024
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Introduction of roberta-medium-amharic-32k-v2

Model Details of roberta-medium-amharic-32k-v2

roberta-medium-amharic-32k-v2

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

  • eval_loss: 7.3050
  • eval_model_preparation_time: 0.0036
  • eval_runtime: 12.4759
  • eval_samples_per_second: 1748.887
  • eval_steps_per_second: 6.893
  • epoch: 0.5362
  • step: 4706
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: 0.0001
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10000
  • num_epochs: 32
  • mixed_precision_training: Native AMP
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.19.1

Runs of yosefw roberta-medium-amharic-32k-v2 on huggingface.co

12
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
4
30-day runs

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roberta-medium-amharic-32k-v2 is an open source model from GitHub that offers a free installation service, and any user can find roberta-medium-amharic-32k-v2 on GitHub to install. At the same time, huggingface.co provides the effect of roberta-medium-amharic-32k-v2 install, users can directly use roberta-medium-amharic-32k-v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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