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---
library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mi-clase-see2025ent
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. -->
# mi-clase-see2025ent
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3472
- Accuracy: 0.53
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3711 | 1.0 | 38 | 1.3176 | 0.47 |
| 0.8469 | 2.0 | 76 | 1.1336 | 0.54 |
| 0.5777 | 3.0 | 114 | 1.1880 | 0.54 |
| 0.5556 | 4.0 | 152 | 1.2859 | 0.52 |
| 0.1975 | 5.0 | 190 | 1.3610 | 0.55 |
| 0.2516 | 6.0 | 228 | 1.9845 | 0.5 |
| 0.0281 | 7.0 | 266 | 2.3607 | 0.47 |
| 0.0062 | 8.0 | 304 | 2.3559 | 0.51 |
| 0.0043 | 9.0 | 342 | 2.3073 | 0.54 |
| 0.0041 | 10.0 | 380 | 2.3472 | 0.53 |
### Framework versions
- Transformers 4.53.1
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.21.2
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