| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: cis-lmu/glot500-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: trainer_output |
| 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. --> |
|
|
| # trainer_output |
| |
| This model is a fine-tuned version of [cis-lmu/glot500-base](https://huggingface.co/cis-lmu/glot500-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3215 |
| - Accuracy: 95.0787 |
| - Sentence accuracy: 55.7798 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 25 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----------------:| |
| | 3.0485 | 1.0 | 546 | 1.6035 | 71.6425 | 8.9908 | |
| | 1.2157 | 2.0 | 1092 | 0.7569 | 84.1410 | 20.5505 | |
| | 0.6796 | 3.0 | 1638 | 0.4906 | 89.3392 | 34.3119 | |
| | 0.4445 | 4.0 | 2184 | 0.3826 | 91.6174 | 40.3670 | |
| | 0.3298 | 5.0 | 2730 | 0.3129 | 93.0522 | 45.1376 | |
| | 0.2501 | 6.0 | 3276 | 0.3018 | 93.5809 | 47.8899 | |
| | 0.2004 | 7.0 | 3822 | 0.2719 | 93.8578 | 48.4404 | |
| | 0.1585 | 8.0 | 4368 | 0.2615 | 94.4493 | 53.9450 | |
| | 0.1335 | 9.0 | 4914 | 0.2645 | 94.7011 | 53.3945 | |
| | 0.1063 | 10.0 | 5460 | 0.2664 | 94.6885 | 53.5780 | |
| | 0.072 | 11.0 | 6006 | 0.2641 | 94.9654 | 55.5963 | |
| | 0.0606 | 12.0 | 6552 | 0.2749 | 94.9150 | 55.4128 | |
| | 0.0484 | 13.0 | 7098 | 0.2852 | 95.0283 | 54.6789 | |
| | 0.0415 | 14.0 | 7644 | 0.3005 | 94.9276 | 55.5963 | |
| | 0.0344 | 15.0 | 8190 | 0.2984 | 95.2297 | 55.7798 | |
| | 0.0303 | 16.0 | 8736 | 0.3103 | 94.9654 | 55.0459 | |
| | 0.0247 | 17.0 | 9282 | 0.3146 | 95.1542 | 56.1468 | |
| | 0.0201 | 18.0 | 9828 | 0.3197 | 95.0157 | 55.2294 | |
| | 0.0193 | 19.0 | 10374 | 0.3215 | 95.0787 | 55.7798 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.3 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
