|
--- |
|
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 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 |
|
|
