metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: git-base-pokemon-captioning-generate
results: []
git-base-pokemon-captioning-generate
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1551
- Wer Score: 4.4399
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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 4.6973 | 4.1702 | 100 | 0.4374 | 15.2827 |
| 0.1366 | 8.3404 | 200 | 0.1118 | 4.2933 |
| 0.0431 | 12.5106 | 300 | 0.1225 | 4.5509 |
| 0.0115 | 16.6809 | 400 | 0.1358 | 5.0092 |
| 0.003 | 20.8511 | 500 | 0.1445 | 5.2642 |
| 0.0015 | 25.0 | 600 | 0.1506 | 4.6816 |
| 0.0012 | 29.1702 | 700 | 0.1537 | 4.3778 |
| 0.0011 | 33.3404 | 800 | 0.1542 | 4.1532 |
| 0.001 | 37.5106 | 900 | 0.1552 | 4.3699 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.0