metadata
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-pokemon
results: []
language: en
pipeline_tag: image-to-text
git-base-pokemon
This model is a fine-tuned version of microsoft/git-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0427
- Wer Score: 1.6214
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 |
---|---|---|---|---|
7.2817 | 4.17 | 50 | 4.4600 | 19.8362 |
2.2912 | 8.33 | 100 | 0.4293 | 9.7913 |
0.1282 | 12.5 | 150 | 0.0391 | 0.3738 |
0.0156 | 16.67 | 200 | 0.0363 | 3.2961 |
0.0046 | 20.83 | 250 | 0.0396 | 1.9320 |
0.0022 | 25.0 | 300 | 0.0405 | 1.7464 |
0.0016 | 29.17 | 350 | 0.0414 | 1.9211 |
0.0013 | 33.33 | 400 | 0.0419 | 1.5837 |
0.0012 | 37.5 | 450 | 0.0424 | 1.7609 |
0.0011 | 41.67 | 500 | 0.0425 | 1.6614 |
0.001 | 45.83 | 550 | 0.0427 | 1.625 |
0.001 | 50.0 | 600 | 0.0427 | 1.6214 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0