metadata
tags:
- generated_from_trainer
model-index:
- name: clip-hugging-face-finetuned
results: []
clip-hugging-face-finetuned
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4228
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8261 | 0.0625 | 1 | 1.7808 |
| 1.7935 | 0.125 | 2 | 1.6237 |
| 2.2498 | 0.1875 | 3 | 1.7418 |
| 1.9536 | 0.25 | 4 | 1.7778 |
| 2.1207 | 0.3125 | 5 | 1.7882 |
| 2.1623 | 0.375 | 6 | 1.8578 |
| 2.0764 | 0.4375 | 7 | 1.8868 |
| 2.206 | 0.5 | 8 | 1.8571 |
| 2.2791 | 0.5625 | 9 | 1.8134 |
| 2.2276 | 0.625 | 10 | 1.7591 |
| 1.826 | 0.6875 | 11 | 1.6688 |
| 1.668 | 0.75 | 12 | 1.5710 |
| 1.8039 | 0.8125 | 13 | 1.5271 |
| 1.7761 | 0.875 | 14 | 1.4974 |
| 1.5512 | 0.9375 | 15 | 1.4799 |
| 1.0115 | 1.0 | 16 | 1.4686 |
| 0.4346 | 1.0625 | 17 | 1.4616 |
| 0.3421 | 1.125 | 18 | 1.4560 |
| 0.3134 | 1.1875 | 19 | 1.4582 |
| 0.2237 | 1.25 | 20 | 1.4679 |
| 0.6518 | 1.3125 | 21 | 1.4689 |
| 0.3559 | 1.375 | 22 | 1.4730 |
| 0.38 | 1.4375 | 23 | 1.4652 |
| 0.3887 | 1.5 | 24 | 1.4595 |
| 0.3202 | 1.5625 | 25 | 1.4468 |
| 0.2525 | 1.625 | 26 | 1.4385 |
| 0.5361 | 1.6875 | 27 | 1.4364 |
| 0.3427 | 1.75 | 28 | 1.4358 |
| 0.2529 | 1.8125 | 29 | 1.4346 |
| 0.1857 | 1.875 | 30 | 1.4301 |
| 0.3143 | 1.9375 | 31 | 1.4248 |
| 0.1912 | 2.0 | 32 | 1.4228 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1