metadata
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-floors
results: []
git-base-floors
This model is a fine-tuned version of microsoft/git-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0322
- Wer Score: 1.8463
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 6.8447 | 4.76 | 50 | 4.1895 | 2.2204 |
| 2.1937 | 9.52 | 100 | 0.4359 | 3.1889 |
| 0.1385 | 14.29 | 150 | 0.0360 | 0.1426 |
| 0.0184 | 19.05 | 200 | 0.0307 | 0.6185 |
| 0.0117 | 23.81 | 250 | 0.0287 | 0.1741 |
| 0.0095 | 28.57 | 300 | 0.0293 | 1.1463 |
| 0.0081 | 33.33 | 350 | 0.0292 | 0.8463 |
| 0.0061 | 38.1 | 400 | 0.0312 | 2.0333 |
| 0.0044 | 42.86 | 450 | 0.0322 | 1.9204 |
| 0.0032 | 47.62 | 500 | 0.0322 | 1.8463 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2