metadata

base_model: microsoft/dit-base
tags:
  - generated_from_trainer
model-index:
  - name: vit-base_rvl_tobacco-tiny_tobacco3482_hint_b0.0_dit-tiny_test
    results: []

vit-base_rvl_tobacco-tiny_tobacco3482_hint_b0.0_dit-tiny_test

This model is a fine-tuned version of microsoft/dit-base on the None 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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Brier Loss	Nll	F1 Micro	F1 Macro	Ece	Aurc
No log	1.0	200	64.8970	0.17	0.8761	7.1182	0.17	0.0466	0.2430	0.7785

Framework versions

Transformers 4.33.3
Pytorch 2.2.0.dev20231002
Datasets 2.7.1
Tokenizers 0.13.3