mt5_large_riju_data
This model is a fine-tuned version of MahdiSUST/bn_sum on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3531
- eval_rouge1: {'precision': 41.8541697896367, 'recall': 41.3654041539666, 'fmeasure': 40.98106539607074}
- eval_rougeL: {'precision': 39.824364163293794, 'recall': 39.31906760605605, 'fmeasure': 38.97108720823315}
- eval_runtime: 229.14
- eval_samples_per_second: 4.159
- eval_steps_per_second: 2.082
- epoch: 9
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: 9
- eval_batch_size: 9
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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