metadata
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-pokemon
results: []
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: 0.0627
- Wer Score: 8.5567
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 2.2863 | 2.1277 | 50 | 0.3771 | 0.4680 |
| 0.1088 | 4.2553 | 100 | 0.0445 | 0.4631 |
| 0.0219 | 6.3830 | 150 | 0.0438 | 0.4483 |
| 0.0152 | 8.5106 | 200 | 0.0437 | 0.4532 |
| 0.0124 | 10.6383 | 250 | 0.0474 | 0.4877 |
| 0.0101 | 12.7660 | 300 | 0.0499 | 2.7241 |
| 0.008 | 14.8936 | 350 | 0.0512 | 4.0493 |
| 0.0064 | 17.0213 | 400 | 0.0535 | 5.2857 |
| 0.0039 | 19.1489 | 450 | 0.0574 | 7.3103 |
| 0.0025 | 21.2766 | 500 | 0.0587 | 7.6847 |
| 0.0015 | 23.4043 | 550 | 0.0620 | 8.0443 |
| 0.0011 | 25.5319 | 600 | 0.0617 | 9.0788 |
| 0.0009 | 27.6596 | 650 | 0.0627 | 8.5567 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1