led-risalah_data_v16

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led-risalah_data_v16

This model is a fine-tuned version of silmi224/finetune-led-35000 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.1156
• eval_rouge1_precision: 0.6147
• eval_rouge1_recall: 0.1563
• eval_rouge1_fmeasure: 0.2489
• eval_runtime: 105.7668
• eval_samples_per_second: 0.095
• eval_steps_per_second: 0.095
• epoch: 26.35
• step: 527

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: 5.6e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 600
• num_epochs: 30
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1