|
---
|
|
base_model: bert-base-cased
|
|
license: apache-2.0
|
|
metrics:
|
|
- accuracy
|
|
tags:
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: mi-clase-antes-clase
|
|
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-antes-clase
|
|
|
|
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: 2.1648
|
|
- Accuracy: 0.47
|
|
|
|
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: linear
|
|
- num_epochs: 10
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
|
| 1.5671 | 1.0 | 38 | 1.7266 | 0.2 |
|
|
| 1.3401 | 2.0 | 76 | 1.4448 | 0.38 |
|
|
| 1.1463 | 3.0 | 114 | 1.2995 | 0.44 |
|
|
| 0.9089 | 4.0 | 152 | 1.2523 | 0.48 |
|
|
| 0.573 | 5.0 | 190 | 1.5740 | 0.41 |
|
|
| 0.3689 | 6.0 | 228 | 1.5738 | 0.52 |
|
|
| 0.4487 | 7.0 | 266 | 1.7316 | 0.5 |
|
|
| 0.3233 | 8.0 | 304 | 1.8300 | 0.5 |
|
|
| 0.023 | 9.0 | 342 | 2.0170 | 0.5 |
|
|
| 0.0186 | 10.0 | 380 | 2.1648 | 0.47 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.42.4
|
|
- Pytorch 2.2.2
|
|
- Datasets 2.20.0
|
|
- Tokenizers 0.19.1
|
|
|
