File size: 1,707 Bytes
0ecbf3b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classificacao_texto_hugging_face
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. -->
# classificacao_texto_hugging_face
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3584
- Accuracy: 0.9328
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2252 | 1.0 | 1563 | 0.2360 | 0.9062 |
| 0.1526 | 2.0 | 3126 | 0.2298 | 0.9292 |
| 0.0893 | 3.0 | 4689 | 0.2804 | 0.9330 |
| 0.0489 | 4.0 | 6252 | 0.3457 | 0.9317 |
| 0.0337 | 5.0 | 7815 | 0.3584 | 0.9328 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.2.2
- Datasets 3.0.0
- Tokenizers 0.19.1
|