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---
library_name: transformers
base_model: nreimers/BERT-Tiny_L-2_H-128_A-2
tags:
- generated_from_trainer
model-index:
- name: bert_tiny_trained
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. -->
# bert_tiny_trained
This model is a fine-tuned version of [nreimers/BERT-Tiny_L-2_H-128_A-2](https://huggingface.co/nreimers/BERT-Tiny_L-2_H-128_A-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5820
## 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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 11 | 1.3285 |
| No log | 2.0 | 22 | 1.3144 |
| No log | 3.0 | 33 | 1.2977 |
| No log | 4.0 | 44 | 1.2683 |
| No log | 5.0 | 55 | 1.2476 |
| No log | 6.0 | 66 | 1.2256 |
| No log | 7.0 | 77 | 1.1961 |
| No log | 8.0 | 88 | 1.1853 |
| No log | 9.0 | 99 | 1.1625 |
| No log | 10.0 | 110 | 1.1284 |
| No log | 11.0 | 121 | 1.1036 |
| No log | 12.0 | 132 | 1.0812 |
| No log | 13.0 | 143 | 1.0573 |
| No log | 14.0 | 154 | 1.0323 |
| No log | 15.0 | 165 | 1.0092 |
| No log | 16.0 | 176 | 0.9913 |
| No log | 17.0 | 187 | 0.9725 |
| No log | 18.0 | 198 | 0.9492 |
| No log | 19.0 | 209 | 0.9269 |
| No log | 20.0 | 220 | 0.9061 |
| No log | 21.0 | 231 | 0.8869 |
| No log | 22.0 | 242 | 0.8719 |
| No log | 23.0 | 253 | 0.8521 |
| No log | 24.0 | 264 | 0.8357 |
| No log | 25.0 | 275 | 0.8169 |
| No log | 26.0 | 286 | 0.8026 |
| No log | 27.0 | 297 | 0.7936 |
| No log | 28.0 | 308 | 0.7783 |
| No log | 29.0 | 319 | 0.7677 |
| No log | 30.0 | 330 | 0.7577 |
| No log | 31.0 | 341 | 0.7516 |
| No log | 32.0 | 352 | 0.7431 |
| No log | 33.0 | 363 | 0.7355 |
| No log | 34.0 | 374 | 0.7287 |
| No log | 35.0 | 385 | 0.7220 |
| No log | 36.0 | 396 | 0.7154 |
| No log | 37.0 | 407 | 0.7119 |
| No log | 38.0 | 418 | 0.7073 |
| No log | 39.0 | 429 | 0.7025 |
| No log | 40.0 | 440 | 0.6976 |
| No log | 41.0 | 451 | 0.6931 |
| No log | 42.0 | 462 | 0.6890 |
| No log | 43.0 | 473 | 0.6859 |
| No log | 44.0 | 484 | 0.6830 |
| No log | 45.0 | 495 | 0.6807 |
| 0.7544 | 46.0 | 506 | 0.6785 |
| 0.7544 | 47.0 | 517 | 0.6774 |
| 0.7544 | 48.0 | 528 | 0.6769 |
| 0.7544 | 49.0 | 539 | 0.6768 |
| 0.7544 | 50.0 | 550 | 0.6767 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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