image-caption-generator
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2180
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 18
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 140 | 0.9561 |
No log | 2.0 | 280 | 0.8228 |
No log | 3.0 | 420 | 0.7362 |
1.0135 | 4.0 | 560 | 0.6639 |
1.0135 | 5.0 | 700 | 0.5998 |
1.0135 | 6.0 | 840 | 0.5435 |
1.0135 | 7.0 | 980 | 0.4893 |
0.6775 | 8.0 | 1120 | 0.4445 |
0.6775 | 9.0 | 1260 | 0.4032 |
0.6775 | 10.0 | 1400 | 0.3637 |
0.5059 | 11.0 | 1540 | 0.3269 |
0.5059 | 12.0 | 1680 | 0.3013 |
0.5059 | 13.0 | 1820 | 0.2749 |
0.5059 | 14.0 | 1960 | 0.2553 |
0.389 | 15.0 | 2100 | 0.2395 |
0.389 | 16.0 | 2240 | 0.2280 |
0.389 | 17.0 | 2380 | 0.2214 |
0.3218 | 18.0 | 2520 | 0.2180 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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