aroot / wsample.32a

huggingface.co
Total runs: 8
24-hour runs: 1
7-day runs: 2
30-day runs: 4
Model's Last Updated: July 06 2023
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Introduction of wsample.32a

Model Details of wsample.32a

wsample.32a

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8284
  • Bleu: 4.7412
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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.11.0

Runs of aroot wsample.32a on huggingface.co

8
Total runs
1
24-hour runs
1
3-day runs
2
7-day runs
4
30-day runs

More Information About wsample.32a huggingface.co Model

wsample.32a huggingface.co

wsample.32a huggingface.co is an AI model on huggingface.co that provides wsample.32a's model effect (), which can be used instantly with this aroot wsample.32a model. huggingface.co supports a free trial of the wsample.32a model, and also provides paid use of the wsample.32a. Support call wsample.32a model through api, including Node.js, Python, http.

wsample.32a huggingface.co Url

https://huggingface.co/aroot/wsample.32a

aroot wsample.32a online free

wsample.32a huggingface.co is an online trial and call api platform, which integrates wsample.32a's modeling effects, including api services, and provides a free online trial of wsample.32a, you can try wsample.32a online for free by clicking the link below.

aroot wsample.32a online free url in huggingface.co:

https://huggingface.co/aroot/wsample.32a

wsample.32a install

wsample.32a is an open source model from GitHub that offers a free installation service, and any user can find wsample.32a on GitHub to install. At the same time, huggingface.co provides the effect of wsample.32a install, users can directly use wsample.32a installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

wsample.32a install url in huggingface.co:

https://huggingface.co/aroot/wsample.32a

Url of wsample.32a

wsample.32a huggingface.co Url

Provider of wsample.32a huggingface.co

aroot
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