CoolFace
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usha75/english-telugu-colloquial-translator

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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english-telugu-colloquial-translator

This model is a fine-tuned version of unsloth/tinyllama-chat-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 9.3023

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: 0.0003
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 8
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 2
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
14.93331.029.3022
14.87122.049.3022
14.85293.069.3022
14.88664.089.3022
14.89565.0109.3022
14.90026.0129.3022
14.93787.0149.3022
14.90368.0169.3021
10.38459.0189.3023
9.924810.0209.3023

Framework versions

  • —PEFT 0.14.0
  • —Transformers 4.48.3
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.3.0
  • —Tokenizers 0.21.0