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---
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-pokemon
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# git-base-pokemon
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0338
- Wer Score: 2.7974
## 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 |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 7.2955 | 4.1667 | 50 | 4.4643 | 21.5910 |
| 2.2928 | 8.3333 | 100 | 0.4199 | 11.9038 |
| 0.1284 | 12.5 | 150 | 0.0304 | 0.5808 |
| 0.0153 | 16.6667 | 200 | 0.0272 | 3.4128 |
| 0.0043 | 20.8333 | 250 | 0.0303 | 3.5346 |
| 0.0021 | 25.0 | 300 | 0.0319 | 3.0859 |
| 0.0016 | 29.1667 | 350 | 0.0325 | 3.0423 |
| 0.0013 | 33.3333 | 400 | 0.0330 | 3.1013 |
| 0.0012 | 37.5 | 450 | 0.0331 | 3.0167 |
| 0.0011 | 41.6667 | 500 | 0.0335 | 2.8 |
| 0.001 | 45.8333 | 550 | 0.0336 | 2.8295 |
| 0.001 | 50.0 | 600 | 0.0338 | 2.7974 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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