faq_model / README.md
Doter's picture
End of training
f6894ea verified
|
raw
history blame
1.36 kB
metadata
license: mit
base_model: timpal0l/mdeberta-v3-base-squad2
tags:
  - generated_from_trainer
model-index:
  - name: faq_model
    results: []

faq_model

This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4656

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: 3e-05
  • train_batch_size: 12
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 313 0.4380
0.4644 2.0 626 0.4656

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.15.2