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nw_egy

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gpt2
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metadata
license: apache-2.0
base_model: riotu-lab/ArabianGPT-01B
tags:
  - generated_from_trainer
metrics:
  - bleu
  - rouge
model-index:
  - name: nw_egy
    results: []

nw_egy

This model is a fine-tuned version of riotu-lab/ArabianGPT-01B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5201
  • Bleu: 0.2511
  • Rouge1: 0.4534
  • Rouge2: 0.2137
  • Rougel: 0.3984

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Bleu Rouge1 Rouge2 Rougel
4.0723 1.0 442 2.9581 0.2228 0.3913 0.1648 0.3201
2.8055 2.0 884 2.6063 0.2415 0.4347 0.1971 0.3777
2.5505 3.0 1326 2.5201 0.2511 0.4534 0.2137 0.3984

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.3.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1