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: 0.3785
- Wer Score: 2.7939
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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- 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 |
|---|---|---|---|---|
| 6.818 | 4.4444 | 50 | 4.1955 | 4.1407 |
| 2.3051 | 8.8889 | 100 | 0.6527 | 2.5893 |
| 0.2976 | 13.3333 | 150 | 0.2576 | 2.2313 |
| 0.1103 | 17.7778 | 200 | 0.2680 | 2.9372 |
| 0.056 | 22.2222 | 250 | 0.3025 | 2.8351 |
| 0.0323 | 26.6667 | 300 | 0.3286 | 2.9704 |
| 0.0207 | 31.1111 | 350 | 0.3488 | 2.9758 |
| 0.0144 | 35.5556 | 400 | 0.3587 | 2.8506 |
| 0.0111 | 40.0 | 450 | 0.3688 | 2.7654 |
| 0.0091 | 44.4444 | 500 | 0.3762 | 2.8455 |
| 0.0081 | 48.8889 | 550 | 0.3785 | 2.7939 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1