vilt_finetuned_200
This model is a fine-tuned version of dandelin/vilt-b32-mlm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3306
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 363.9675 | 0.16 | 100 | 26.1215 |
| 11.4975 | 0.32 | 200 | 7.2332 |
| 6.1909 | 0.48 | 300 | 5.9332 |
| 5.2134 | 0.64 | 400 | 5.5186 |
| 5.0189 | 0.8 | 500 | 5.3268 |
| 4.7551 | 0.96 | 600 | 5.0921 |
| 4.5394 | 1.12 | 700 | 4.9538 |
| 4.3441 | 1.28 | 800 | 4.8967 |
| 4.1436 | 1.44 | 900 | 4.7419 |
| 4.1847 | 1.6 | 1000 | 4.6581 |
| 4.0116 | 1.76 | 1100 | 4.5915 |
| 3.918 | 1.92 | 1200 | 4.5202 |
| 3.8251 | 2.08 | 1300 | 4.4634 |
| 3.7981 | 2.24 | 1400 | 4.4169 |
| 3.7108 | 2.4 | 1500 | 4.3954 |
| 3.5706 | 2.56 | 1600 | 4.3626 |
| 3.5559 | 2.72 | 1700 | 4.3374 |
| 3.6951 | 2.88 | 1800 | 4.3306 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
dandelin/vilt-b32-mlm