| --- |
| license: mit |
| base_model: microsoft/git-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: git-base-naruto2 |
| 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-naruto2 |
|
|
| 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: 0.0286 |
| - Wer Score: 0.3515 |
|
|
| ## 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: 3 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer Score | |
| |:-------------:|:------:|:----:|:---------------:|:---------:| |
| | 10.2502 | 0.0909 | 5 | 9.1485 | 62.2485 | |
| | 8.8428 | 0.1818 | 10 | 8.3401 | 80.6545 | |
| | 8.1981 | 0.2727 | 15 | 7.8041 | 80.8121 | |
| | 7.7018 | 0.3636 | 20 | 7.3280 | 80.3636 | |
| | 7.2331 | 0.4545 | 25 | 6.8603 | 40.0485 | |
| | 6.7819 | 0.5455 | 30 | 6.3932 | 20.9152 | |
| | 6.3079 | 0.6364 | 35 | 5.9241 | 22.0424 | |
| | 5.8546 | 0.7273 | 40 | 5.4566 | 6.7515 | |
| | 5.3926 | 0.8182 | 45 | 4.9938 | 6.9636 | |
| | 4.9258 | 0.9091 | 50 | 4.5336 | 6.8909 | |
| | 4.4733 | 1.0 | 55 | 4.0808 | 7.4061 | |
| | 4.0241 | 1.0909 | 60 | 3.6383 | 6.9273 | |
| | 3.5895 | 1.1818 | 65 | 3.2081 | 7.2121 | |
| | 3.1657 | 1.2727 | 70 | 2.7929 | 7.2121 | |
| | 2.7513 | 1.3636 | 75 | 2.3954 | 7.8303 | |
| | 2.3667 | 1.4545 | 80 | 2.0232 | 8.1576 | |
| | 1.9959 | 1.5455 | 85 | 1.6770 | 8.8727 | |
| | 1.6518 | 1.6364 | 90 | 1.3655 | 9.2242 | |
| | 1.349 | 1.7273 | 95 | 1.0882 | 9.3758 | |
| | 1.081 | 1.8182 | 100 | 0.8536 | 9.1939 | |
| | 0.8455 | 1.9091 | 105 | 0.6599 | 8.8667 | |
| | 0.6619 | 2.0 | 110 | 0.5056 | 9.2727 | |
| | 0.5017 | 2.0909 | 115 | 0.3868 | 9.3636 | |
| | 0.385 | 2.1818 | 120 | 0.2934 | 10.9758 | |
| | 0.2916 | 2.2727 | 125 | 0.2254 | 10.6848 | |
| | 0.2292 | 2.3636 | 130 | 0.1742 | 9.3758 | |
| | 0.1773 | 2.4545 | 135 | 0.1368 | 8.8909 | |
| | 0.1397 | 2.5455 | 140 | 0.1088 | 8.4364 | |
| | 0.1214 | 2.6364 | 145 | 0.0907 | 0.4121 | |
| | 0.0964 | 2.7273 | 150 | 0.0764 | 0.3939 | |
| | 0.0812 | 2.8182 | 155 | 0.0649 | 0.3818 | |
| | 0.07 | 2.9091 | 160 | 0.0597 | 0.3818 | |
| | 0.0613 | 3.0 | 165 | 0.0516 | 0.4121 | |
| | 0.0454 | 3.0909 | 170 | 0.0472 | 0.3879 | |
| | 0.0492 | 3.1818 | 175 | 0.0422 | 0.4 | |
| | 0.0411 | 3.2727 | 180 | 0.0411 | 0.4364 | |
| | 0.035 | 3.3636 | 185 | 0.0394 | 0.4303 | |
| | 0.0378 | 3.4545 | 190 | 0.0370 | 0.3879 | |
| | 0.0389 | 3.5455 | 195 | 0.0348 | 0.3939 | |
| | 0.0341 | 3.6364 | 200 | 0.0335 | 0.3636 | |
| | 0.0391 | 3.7273 | 205 | 0.0327 | 0.3697 | |
| | 0.0266 | 3.8182 | 210 | 0.0314 | 0.5212 | |
| | 0.0282 | 3.9091 | 215 | 0.0308 | 2.6364 | |
| | 0.0306 | 4.0 | 220 | 0.0300 | 0.4848 | |
| | 0.0263 | 4.0909 | 225 | 0.0306 | 0.3758 | |
| | 0.0237 | 4.1818 | 230 | 0.0300 | 0.3697 | |
| | 0.0255 | 4.2727 | 235 | 0.0292 | 0.3515 | |
| | 0.0232 | 4.3636 | 240 | 0.0290 | 0.3576 | |
| | 0.024 | 4.4545 | 245 | 0.0291 | 0.3515 | |
| | 0.0243 | 4.5455 | 250 | 0.0294 | 0.3636 | |
| | 0.0245 | 4.6364 | 255 | 0.0296 | 0.3697 | |
| | 0.022 | 4.7273 | 260 | 0.0294 | 0.3576 | |
| | 0.0228 | 4.8182 | 265 | 0.0291 | 0.3576 | |
| | 0.0255 | 4.9091 | 270 | 0.0287 | 0.3515 | |
| | 0.025 | 5.0 | 275 | 0.0286 | 0.3515 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.41.0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
