metadata
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- image-classification
- generated_from_trainer
model-index:
- name: vit-base-hate-meme
results: []
vit-base-hate-meme
This model is a fine-tuned version of google/vit-base-patch16-224 on the emily49/hateful_memes_train_dev dataset. It achieves the following results on the evaluation set:
- Loss: 0.6966
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6407 | 1.0 | 532 | 0.6966 |
| 0.5847 | 2.0 | 1064 | 0.7980 |
| 0.6144 | 3.0 | 1596 | 0.7764 |
| 0.5307 | 4.0 | 2128 | 0.9913 |
| 0.5545 | 5.0 | 2660 | 0.9512 |
| 0.3243 | 6.0 | 3192 | 1.5071 |
| 0.1371 | 7.0 | 3724 | 2.0203 |
| 0.0571 | 8.0 | 4256 | 2.9499 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2