metadata
tags:
- generated_from_trainer
model-index:
- name: image-caption-generator
results: []
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: 0.4328
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 67 | 0.2870 |
| No log | 2.0 | 134 | 0.2818 |
| No log | 3.0 | 201 | 0.2921 |
| No log | 4.0 | 268 | 0.3125 |
| No log | 5.0 | 335 | 0.3431 |
| No log | 6.0 | 402 | 0.3812 |
| No log | 7.0 | 469 | 0.3979 |
| 0.3841 | 8.0 | 536 | 0.4125 |
| 0.3841 | 9.0 | 603 | 0.4289 |
| 0.3841 | 10.0 | 670 | 0.4328 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.9.1
- Datasets 1.18.4
- Tokenizers 0.11.6