yleo / monacan-translator-mistral

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Total runs: 4
24-hour runs: 0
7-day runs: 1
30-day runs: -3
Model's Last Updated: January 28 2024

Introduction of monacan-translator-mistral

Model Details of monacan-translator-mistral

monacan-translator-mistral

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator 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: 0.0002
  • train_batch_size: 3
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 6
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1
Training results
Framework versions
  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1

Runs of yleo monacan-translator-mistral on huggingface.co

4
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
-3
30-day runs

More Information About monacan-translator-mistral huggingface.co Model

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monacan-translator-mistral huggingface.co

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monacan-translator-mistral install

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

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