Edit model card

finetuned-DebertaV3-eli5-askscience-TextGeneration

This model is a fine-tuned version of microsoft/deberta-v3-base on the eli5_category dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7192

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: 5e-05
  • train_batch_size: 48
  • eval_batch_size: 48
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
3.9211 1.0 1049 3.5396
2.8329 2.0 2098 3.0325
3.3087 3.0 3147 2.8686
3.1624 4.0 4196 2.7708
2.4202 5.0 5245 2.7318

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
4
Safetensors
Model size
185M params
Tensor type
F32
·

Finetuned from

Dataset used to train JinbiaoZhu/finetuned-DebertaV3-eli5-askscience-FillingMask

Collection including JinbiaoZhu/finetuned-DebertaV3-eli5-askscience-FillingMask