judithrosell / t5-mt-en-ca-new

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: May 10 2023
text-generation

Introduction of t5-mt-en-ca-new

Model Details of t5-mt-en-ca-new

t5-mt-en-ca-new

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

  • Loss: 3.4508
  • Bleu: 0.2189
  • Gen Len: 17.5396
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: 2e-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: 5
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 231 3.6893 0.0917 17.7687
No log 2.0 462 3.5711 0.1244 17.6591
3.9065 3.0 693 3.5008 0.1889 17.6059
3.9065 4.0 924 3.4631 0.2197 17.5244
3.7288 5.0 1155 3.4508 0.2189 17.5396
Framework versions
  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3

Runs of judithrosell t5-mt-en-ca-new on huggingface.co

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https://huggingface.co/judithrosell/t5-mt-en-ca-new

t5-mt-en-ca-new install

t5-mt-en-ca-new is an open source model from GitHub that offers a free installation service, and any user can find t5-mt-en-ca-new on GitHub to install. At the same time, huggingface.co provides the effect of t5-mt-en-ca-new install, users can directly use t5-mt-en-ca-new installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

t5-mt-en-ca-new install url in huggingface.co:

https://huggingface.co/judithrosell/t5-mt-en-ca-new

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judithrosell
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