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mt5-xl-tr-summarization – AI Model by musabg | AlphaNeural AI

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musabg/
mt5-xl-tr-summarization

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0

text2text-generation

generated_from_trainer

musabg/wikipedia-tr-summarization

endpoints_compatible

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mT5-Xl Turkish Summarization

This model is a fine-tuned version of google/mt5-xl on the musabg/wikipedia-tr-summarization dataset.

This can be used with HF summarization pipeline.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Eval results

It achieves the following results on the evaluation set:

Loss: 0.5676
Rouge1: 56.4468
Rouge2: 41.3258
Rougel: 48.1909
Rougelsum: 48.4284
Gen Len: 75.9265

Training results

Framework versions

Transformers 4.31.0.dev0
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3