metadata

base_model: silmi224/finetune-led-35000
tags:
  - summarization
  - generated_from_trainer
model-index:
  - name: led-risalah_data_v16
    results: []

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