CoolFace
Modelpublic

tachiwin/multilingual

sourceHugging Faceupdated 1y agoView on Hugging Face
0likes3downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>

multilingual

This model is a fine-tuned version of tachiwin/pretrained_multilingual_instruct on an unknown 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: 3.224270650583368e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 8
  • —seed: 3407
  • —gradientaccumulationsteps: 32
  • —totaltrainbatch_size: 1024
  • —optimizer: Use OptimizerNames.LION_8BIT and the args are: No additional optimizer arguments
  • —lrschedulertype: cosine
  • —num_epochs: 1

Framework versions

  • —PEFT 0.15.2
  • —Transformers 4.51.3
  • —Pytorch 2.7.0+cu126
  • —Datasets 3.6.0
  • —Tokenizers 0.21.1