File size: 2,250 Bytes
9f87b66 c807842 9f87b66 |
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 67 68 69 70 71 72 |
---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: discord_classification2
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. -->
# discord_classification2
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co./google-bert/bert-base-uncased) on the [Text classification documentation](https://www.kaggle.com/datasets/tanishqdublish/text-classification-documentation/data) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0020
- Accuracy: 1.0
- Auc: 1.0
## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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 | Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
| 0.1484 | 1.0 | 92 | 0.0125 | 1.0 | 1.0 |
| 0.0164 | 2.0 | 184 | 0.0086 | 1.0 | 1.0 |
| 0.0138 | 3.0 | 276 | 0.0038 | 1.0 | 1.0 |
| 0.0073 | 4.0 | 368 | 0.0095 | 0.989 | 1.0 |
| 0.0052 | 5.0 | 460 | 0.0023 | 1.0 | 1.0 |
| 0.0065 | 6.0 | 552 | 0.0021 | 1.0 | 1.0 |
| 0.0041 | 7.0 | 644 | 0.0018 | 1.0 | 1.0 |
| 0.0062 | 8.0 | 736 | 0.0023 | 1.0 | 1.0 |
| 0.0032 | 9.0 | 828 | 0.0020 | 1.0 | 1.0 |
| 0.0044 | 10.0 | 920 | 0.0020 | 1.0 | 1.0 |
### Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
|