---
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