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led-risalah_data_v16 – AI Model by silmi224 | AlphaNeural AI
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led-risalah_data_v16
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transformers
tensorboard
safetensors
led
text2text-generation
summarization
generated_from_trainer
silmi224/finetune-led-35000
finetune
endpoints_compatible
us
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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
