metadata
library_name: transformers
base_model: openai/clip-vit-large-patch14-336
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: >-
clip-vit-large-patch14-336-finetuned-openai-clip-vit-large-patch14-336-emnist-letter
results: []
clip-vit-large-patch14-336-finetuned-openai-clip-vit-large-patch14-336-emnist-letter
This model is a fine-tuned version of openai/clip-vit-large-patch14-336 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1417
- Accuracy: 0.9489
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8898 | 0.9994 | 877 | 0.3490 | 0.8834 |
| 0.8457 | 2.0 | 1755 | 0.2191 | 0.9224 |
| 0.7238 | 2.9994 | 2632 | 0.2113 | 0.9263 |
| 0.6685 | 4.0 | 3510 | 0.1838 | 0.9348 |
| 0.6236 | 4.9994 | 4387 | 0.2217 | 0.9205 |
| 0.6011 | 6.0 | 5265 | 0.1732 | 0.9386 |
| 0.6129 | 6.9994 | 6142 | 0.1582 | 0.9419 |
| 0.5606 | 8.0 | 7020 | 0.1478 | 0.9465 |
| 0.5136 | 8.9994 | 7897 | 0.1488 | 0.9458 |
| 0.4659 | 9.9943 | 8770 | 0.1417 | 0.9489 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1