Hemg/english-To-Nepali-TRanslate

🤗 Hugging Face 来源apache-2.061M 参数242 MBsafetensors✓ 6 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Hemg/english-To-Nepali-TRanslate ./model-folder
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english-To-Nepali-TRanslate

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6219
  • Bleu: 13.8583
  • Gen Len: 7.98

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: 3e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • 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
0.9215 1.0 500 0.6627 8.2664 8.0255
0.7364 2.0 1000 0.6219 13.8583 7.98

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2+cpu
  • Datasets 2.18.0
  • Tokenizers 0.15.2