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p1atdev
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mt5-base-xlsum-ja

Summarization
Transformers
PyTorch
Safetensors
Japanese
mt5
text2text-generation
Generated from Trainer
Eval Results
Inference Endpoints
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mt5-base-xlsum-ja

This model is a fine-tuned version of google/mt5-base on the xlsum dataset.

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 90
  • num_epochs: 10

Training results

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0

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Base model

google/mt5-base
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Dataset used to train p1atdev/mt5-base-xlsum-ja

Collection including p1atdev/mt5-base-xlsum-ja

Evaluation results

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