metadata
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: git-base-pokemon
results: []
git-base-pokemon
This model is a fine-tuned version of microsoft/git-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1481
- Wer Score: 7.2150
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 0.0359 | 3.12 | 50 | 0.1192 | 0.8131 |
| 0.0174 | 6.25 | 100 | 0.1257 | 3.0654 |
| 0.0132 | 9.38 | 150 | 0.1283 | 0.7850 |
| 0.011 | 12.5 | 200 | 0.1297 | 1.4112 |
| 0.0095 | 15.62 | 250 | 0.1332 | 5.1028 |
| 0.0083 | 18.75 | 300 | 0.1376 | 5.5701 |
| 0.0077 | 21.88 | 350 | 0.1368 | 0.7944 |
| 0.0068 | 25.0 | 400 | 0.1366 | 5.6168 |
| 0.0061 | 28.12 | 450 | 0.1417 | 4.4299 |
| 0.0057 | 31.25 | 500 | 0.1406 | 6.6636 |
| 0.0047 | 34.38 | 550 | 0.1438 | 7.3738 |
| 0.0038 | 37.5 | 600 | 0.1448 | 7.6262 |
| 0.0032 | 40.62 | 650 | 0.1468 | 9.0841 |
| 0.0027 | 43.75 | 700 | 0.1473 | 6.8598 |
| 0.0024 | 46.88 | 750 | 0.1480 | 7.3178 |
| 0.0021 | 50.0 | 800 | 0.1481 | 7.2150 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1