silmi224/led-risalah_data_v16
013
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led-risalahdatav16
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
- evalrouge1precision: 0.6147
- evalrouge1recall: 0.1563
- evalrouge1fmeasure: 0.2489
- eval_runtime: 105.7668
- evalsamplesper_second: 0.095
- evalstepsper_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
- trainbatchsize: 1
- evalbatchsize: 1
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 600
- num_epochs: 30
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1