metadata
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 the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2324
- Wer Score: 5.2456
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 |
|---|---|---|---|---|
| 7.3165 | 5.26 | 50 | 4.6355 | 4.8031 |
| 2.6531 | 10.53 | 100 | 0.8536 | 4.2762 |
| 0.4 | 15.79 | 150 | 0.2527 | 4.6248 |
| 0.1634 | 21.05 | 200 | 0.2272 | 4.4392 |
| 0.125 | 26.32 | 250 | 0.2262 | 4.3356 |
| 0.1054 | 31.58 | 300 | 0.2286 | 6.6022 |
| 0.0932 | 36.84 | 350 | 0.2305 | 4.6967 |
| 0.0856 | 42.11 | 400 | 0.2320 | 4.4171 |
| 0.0811 | 47.37 | 450 | 0.2324 | 5.2456 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0