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CMSC_473_t5_zh

This model is a fine-tuned version of lseely916/CMSC_473_mt5 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9137
  • Bleu: 7.8609
  • Gen Len: 16.173

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
2.4962 1.0 25000 2.0071 7.3228 16.2395
2.3434 2.0 50000 1.9137 7.8609 16.173

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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Model size
300M params
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F32
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