mT5_multilingual_XLSum-finetuned-mlsum-tr
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the mlsum dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.8230
- eval_rouge1: 38.1147
- eval_rouge2: 25.2516
- eval_rougeL: 33.3003
- eval_rougeLsum: 34.7125
- eval_runtime: 810.61
- eval_samples_per_second: 2.853
- eval_steps_per_second: 0.358
- epoch: 4.0
- step: 24928
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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