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: 0.0344
- Wer Score: 2.2807
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 |
|---|---|---|---|---|
| 7.2943 | 4.1667 | 50 | 4.4708 | 21.1278 |
| 2.2992 | 8.3333 | 100 | 0.4252 | 14.8722 |
| 0.1287 | 12.5 | 150 | 0.0311 | 0.6128 |
| 0.0161 | 16.6667 | 200 | 0.0280 | 2.4762 |
| 0.0049 | 20.8333 | 250 | 0.0304 | 2.4561 |
| 0.0022 | 25.0 | 300 | 0.0327 | 2.4085 |
| 0.0016 | 29.1667 | 350 | 0.0328 | 2.3333 |
| 0.0013 | 33.3333 | 400 | 0.0333 | 2.4298 |
| 0.0012 | 37.5 | 450 | 0.0341 | 2.3033 |
| 0.0011 | 41.6667 | 500 | 0.0344 | 2.2569 |
| 0.001 | 45.8333 | 550 | 0.0344 | 2.2744 |
| 0.001 | 50.0 | 600 | 0.0344 | 2.2807 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1